<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>我爱自然语言处理 &#187; 计算语言学</title>
	<atom:link href="http://www.52nlp.cn/category/computational-linguistics/feed" rel="self" type="application/rss+xml" />
	<link>http://www.52nlp.cn</link>
	<description>I Love Natural Language Processing</description>
	<lastBuildDate>Wed, 21 Jul 2010 15:33:24 +0000</lastBuildDate>
	<generator>http://wordpress.org/?v=2.9.2</generator>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
			<item>
		<title>ACL 2010 Best Paper Awards</title>
		<link>http://www.52nlp.cn/acl-2010-best-paper-awards</link>
		<comments>http://www.52nlp.cn/acl-2010-best-paper-awards#comments</comments>
		<pubDate>Thu, 15 Jul 2010 14:21:19 +0000</pubDate>
		<dc:creator>52nlp</dc:creator>
				<category><![CDATA[自然语言处理]]></category>
		<category><![CDATA[计算语言学]]></category>
		<category><![CDATA[ACL]]></category>
		<category><![CDATA[ACL 2010]]></category>
		<category><![CDATA[Best long paper]]></category>
		<category><![CDATA[Best Paper Awards]]></category>
		<category><![CDATA[Best short paper]]></category>
		<category><![CDATA[IBM Best student paper]]></category>
		<category><![CDATA[Lifetime Achievement Award]]></category>

		<guid isPermaLink="false">http://www.52nlp.cn/?p=3404</guid>
		<description><![CDATA[　　ACL 2010官方主页似乎在前几天已经确定好了本次大会的Best Paper Awards，在其Awards页面里，不仅给出了本次大会的Best long paper, Best short paper, IBM Best student paper，而且包括其在会议期间Presented time. 
Best long paper
Beyond NomBank: A Study of Implicit Arguments for Nominal Predicates
Matthew Gerber and Joyce Chai
Despite its substantial coverage, NomBank does not account for all within-sentence arguments and ignores extrasentential arguments altogether. These arguments, which we call implicit, are important to [...]


相关文章:<ol><li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-best-paper-awards' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 Best Paper Awards'>ACL-IJCNLP 2009 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/acl-2010%e6%96%87%e7%ab%a0%e5%b7%b2%e5%8f%af%e4%b8%8b%e8%bd%bd' rel='bookmark' title='Permanent Link: ACL 2010文章已可下载'>ACL 2010文章已可下载</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-paper-%e5%9b%bd%e5%86%85%e7%a0%94%e7%a9%b6%e5%8d%95%e4%bd%8d%e5%bd%95%e7%94%a8%e6%83%85%e5%86%b5' rel='bookmark' title='Permanent Link: ACL 2010 Paper国内研究单位录用情况'>ACL 2010 Paper国内研究单位录用情况</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-prospect' rel='bookmark' title='Permanent Link: COLING 2010前瞻——规则与统计共舞，语言随计算齐飞'>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-six-foreign-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之六：国外书籍'>自然语言处理与计算语言学书籍汇总之六：国外书籍</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-%e8%af%84%e8%bf%b0%e8%8a%82%e9%80%89' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 评述节选'>ACL-IJCNLP 2009 评述节选</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-list-of-accepted-papers' rel='bookmark' title='Permanent Link: ACL 2010: List of Accepted Papers'>ACL 2010: List of Accepted Papers</a></li>
<li><a href='http://www.52nlp.cn/acl-anthology-computational-linguistics-digital-archive' rel='bookmark' title='Permanent Link: ACL Anthology——计算语言学的数字档案'>ACL Anthology——计算语言学的数字档案</a></li>
<li><a href='http://www.52nlp.cn/about-acl-anthology-network' rel='bookmark' title='Permanent Link: ACL Anthology 姊妹篇：ACL Anthology Network'>ACL Anthology 姊妹篇：ACL Anthology Network</a></li>
</ol>]]></description>
			<content:encoded><![CDATA[<p>　　ACL 2010官方主页似乎在前几天已经确定好了本次大会的Best Paper Awards，在其<a href="http://acl2010.org/awards.html"target=_blank>Awards</a>页面里，不仅给出了本次大会的Best long paper, Best short paper, IBM Best student paper，而且包括其在会议期间Presented time. <span id="more-3404"></span></p>
<p><strong>Best long paper</strong><br />
Beyond NomBank: A Study of Implicit Arguments for Nominal Predicates<br />
Matthew Gerber and Joyce Chai</p>
<blockquote><p>Despite its substantial coverage, NomBank does not account for all within-sentence arguments and ignores extrasentential arguments altogether. These arguments, which we call implicit, are important to semantic processing, and their recovery could potentially benefit many NLP applications. We present a study of implicit arguments for a select group of frequent nominal predicates. We show that implicit arguments are pervasive for these predicates, adding 65% to the coverage of NomBank. We demonstrate the feasibility of recovering implicit arguments with a supervised classification model. Our results and analyses provide a baseline for future work on this emerging task.</p></blockquote>
<p><strong>Best short paper</strong><br />
SVD and Clustering for Unsupervised POS Tagging<br />
Michael Lamar, Yariv Maron, Mark Johnson, Elie Bienenstock</p>
<blockquote><p>
We revisit the algorithm of Schütze (1995) for unsupervised part-of-speech tagging. The algorithm uses reduced-rank singular value decomposition followed by clustering to extract latent features from context distributions. As implemented here, it achieves state-of-the-art tagging accuracy at considerably less cost than more recent methods. It can also produce a range of finer-grained taggings, with potential applications to various tasks.</p></blockquote>
<p><strong>IBM Best student paper</strong><br />
Extracting Social Networks from Literary Fiction<br />
David Elson,  Nicholas Dames,  Kathleen McKeown<br />
（注：该文也是一篇long paper，作者是学生）</p>
<blockquote><p>
We present a method for extracting social networks from literature, namely, nineteenth-century British novels and serials. We derive the networks from dialogue interactions, and thus our method depends on the ability to determine when two characters are in conversation. Our approach involves character name chunking, quoted speech attribution and conversation detection given the set of quotes. We extract features from the social networks and examine their correlation with one another, as well as with metadata such as the novel’s setting. Our results provide evidence that the majority of novels in this time period do not fit two characterizations provided by literacy scholars. Instead, our results suggest an alternative explanation for differences in social networks.</p></blockquote>
<p>　　Best Paper Awards是由ACL的一个专门委员会评选出的，将在大会结束时进行颁奖。ACL 2010还有一个”Lifetime Achievement Award（终生成就奖）“，不过目前还没有揭晓获奖者。关于这个奖项，ACL 2010给了一段很有意思的介绍：</p>
<blockquote><p>The ACL Lifetime Achievement Award (LTA) was instituted on the occasion of the Association&#8217;s 40th anniversary meeting.  The award is presented for scientific achievement, of both theoretical and applied nature, in the field of Computational Linguistics.  Currently, an ACL committee nominates and selects at most one award recipient annually, considering the originality, depth, breadth, and impact of the entire body of the nominee&#8217;s work in the field. The award is a crystal trophy and the recipient is invited to give a 45-minute speech on his or her view of the development of Computational Linguistics at the annual meeting of the association.  As of 2004, the speech has been subsequently published in the Association&#8217;s journal, Computational Linguistics.  The speech is introduced by the announcement of the award winner, whose identity is not made public until that time.</p></blockquote>
<p>　　Lifetime Achievement Award（终生成就奖）每届最多只授予一位对于自然语言处理与计算语言学有着举足轻重影响的候选者，此前获得该奖项的分别是：Aravind Joshi (2002), Makoto Nagao (2003), Karen Spärck Jones (2004), Martin Kay (2005), Eva Hajicová (2006), Lauri Karttunen (2007), Yorick Wilks (2008) and Fred Jelinek (2009).  </p>
<p>注：转载请注明出处“<a href="http://www.52nlp.cn">我爱自然语言处理</a>”：<a href="http://www.52nlp.cn">www.52nlp.cn</a></p>
<p>本文链接地址：<a href="http://www.52nlp.cn/acl-2010-best-paper-awards">http://www.52nlp.cn/acl-2010-best-paper-awards</a></p>
<p>
<!-- Begin Google Adsense code -->
<script type="text/javascript"><!--
google_ad_client = "pub-4332174469367599";
/* 336x280, 创建于 09-2-7 */
google_ad_slot = "5707022987";
google_ad_width = 336;
google_ad_height = 280;
//-->
</script>
<script type="text/javascript"
src="http://pagead2.googlesyndication.com/pagead/show_ads.js">
</script>
<!-- End Google Adsense code -->
   </p>


<p>相关文章:<ol><li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-best-paper-awards' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 Best Paper Awards'>ACL-IJCNLP 2009 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/acl-2010%e6%96%87%e7%ab%a0%e5%b7%b2%e5%8f%af%e4%b8%8b%e8%bd%bd' rel='bookmark' title='Permanent Link: ACL 2010文章已可下载'>ACL 2010文章已可下载</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-paper-%e5%9b%bd%e5%86%85%e7%a0%94%e7%a9%b6%e5%8d%95%e4%bd%8d%e5%bd%95%e7%94%a8%e6%83%85%e5%86%b5' rel='bookmark' title='Permanent Link: ACL 2010 Paper国内研究单位录用情况'>ACL 2010 Paper国内研究单位录用情况</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-prospect' rel='bookmark' title='Permanent Link: COLING 2010前瞻——规则与统计共舞，语言随计算齐飞'>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-six-foreign-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之六：国外书籍'>自然语言处理与计算语言学书籍汇总之六：国外书籍</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-%e8%af%84%e8%bf%b0%e8%8a%82%e9%80%89' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 评述节选'>ACL-IJCNLP 2009 评述节选</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-list-of-accepted-papers' rel='bookmark' title='Permanent Link: ACL 2010: List of Accepted Papers'>ACL 2010: List of Accepted Papers</a></li>
<li><a href='http://www.52nlp.cn/acl-anthology-computational-linguistics-digital-archive' rel='bookmark' title='Permanent Link: ACL Anthology——计算语言学的数字档案'>ACL Anthology——计算语言学的数字档案</a></li>
<li><a href='http://www.52nlp.cn/about-acl-anthology-network' rel='bookmark' title='Permanent Link: ACL Anthology 姊妹篇：ACL Anthology Network'>ACL Anthology 姊妹篇：ACL Anthology Network</a></li>
</ol></p>]]></content:encoded>
			<wfw:commentRss>http://www.52nlp.cn/acl-2010-best-paper-awards/feed</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>ACL 2010文章已可下载</title>
		<link>http://www.52nlp.cn/acl-2010%e6%96%87%e7%ab%a0%e5%b7%b2%e5%8f%af%e4%b8%8b%e8%bd%bd</link>
		<comments>http://www.52nlp.cn/acl-2010%e6%96%87%e7%ab%a0%e5%b7%b2%e5%8f%af%e4%b8%8b%e8%bd%bd#comments</comments>
		<pubDate>Sun, 11 Jul 2010 14:30:49 +0000</pubDate>
		<dc:creator>52nlp</dc:creator>
				<category><![CDATA[自然语言处理]]></category>
		<category><![CDATA[计算语言学]]></category>
		<category><![CDATA[ACL]]></category>
		<category><![CDATA[ACL 2010]]></category>
		<category><![CDATA[ACL Anthology]]></category>
		<category><![CDATA[Min-Yen Kan]]></category>

		<guid isPermaLink="false">http://www.52nlp.cn/?p=3398</guid>
		<description><![CDATA[　　晚上收到ACL Anthology负责人Min-Yen Kan发给ACL Anthology Google Group的邮件，通知说目前ACL 2010的文章已经可以下载，包括full papers, short papers, student research workshop papers, demonstrations, tutorial abstracts以及所有的workshops的Paper，才想起今天（7月11号）ACL 2010会议召开。以下是具体的下载地址，有兴趣的读者可以关注一下。
　　一、ACL 2010大会论文集：
　　Proceedings of the ACL 2010 conference can be found here:
　　http://www.aclweb.org/anthology/P/P10/
　　These include both volumes: (I) full papers and (II) short papers,student research workshop papers, demonstrations and tutorial abstracts.
　　二、Workshop论文集：
　　The proceedings of the workshops and conferences co-located with ACL 2010 [...]


相关文章:<ol><li><a href='http://www.52nlp.cn/acl-anthology-computational-linguistics-digital-archive' rel='bookmark' title='Permanent Link: ACL Anthology——计算语言学的数字档案'>ACL Anthology——计算语言学的数字档案</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-prospect' rel='bookmark' title='Permanent Link: COLING 2010前瞻——规则与统计共舞，语言随计算齐飞'>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</a></li>
<li><a href='http://www.52nlp.cn/acl-wiki-encyclopedia-of-computational-linguistics' rel='bookmark' title='Permanent Link: ACL Wiki——计算语言学的百科全书'>ACL Wiki——计算语言学的百科全书</a></li>
<li><a href='http://www.52nlp.cn/about-acl-anthology-network' rel='bookmark' title='Permanent Link: ACL Anthology 姊妹篇：ACL Anthology Network'>ACL Anthology 姊妹篇：ACL Anthology Network</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/getting-started-in-natural-language-processing' rel='bookmark' title='Permanent Link: 如何学习自然语言处理'>如何学习自然语言处理</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-best-paper-awards' rel='bookmark' title='Permanent Link: ACL 2010 Best Paper Awards'>ACL 2010 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-common-abbreviations-acronyms' rel='bookmark' title='Permanent Link: 自然语言处理及计算语言学常见缩略语'>自然语言处理及计算语言学常见缩略语</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-seven-other-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之七：其他书籍'>自然语言处理与计算语言学书籍汇总之七：其他书籍</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-six-foreign-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之六：国外书籍'>自然语言处理与计算语言学书籍汇总之六：国外书籍</a></li>
</ol>]]></description>
			<content:encoded><![CDATA[<p>　　晚上收到<a href="http://www.52nlp.cn/acl-anthology-computational-linguistics-digital-archive">ACL Anthology</a>负责人Min-Yen Kan发给ACL Anthology Google Group的邮件，通知说目前ACL 2010的文章已经可以下载，包括full papers, short papers, student research workshop papers, demonstrations, tutorial abstracts以及所有的workshops的Paper，才想起今天（7月11号）ACL 2010会议召开。以下是具体的下载地址，有兴趣的读者可以关注一下。<span id="more-3398"></span></p>
<p>　　一、ACL 2010大会论文集：<br />
　　Proceedings of the ACL 2010 conference can be found here:<br />
　　<a href=" http://www.aclweb.org/anthology/P/P10/"target=_blank>http://www.aclweb.org/anthology/P/P10/</a><br />
　　These include both volumes: (I) full papers and (II) short papers,student research workshop papers, demonstrations and tutorial abstracts.</p>
<p>　　二、Workshop论文集：<br />
　　The proceedings of the workshops and conferences co-located with ACL 2010 are now online.<br />
　　<a href="http://www.aclweb.org/anthology/W/W10/"target=_blank>http://www.aclweb.org/anthology/W/W10/</a><br />
(scroll towards the bottom of the table of contents)</p>
<p>* Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR<br />
* Fourth Linguistic Annotation Workshop<br />
* 2010 Workshop on Biomedical Natural Language Processing<br />
* 2010 Workshop on Cognitive Modeling and Computational Linguistics<br />
* 2010 Workshop on NLP and Linguistics: Finding the Common Ground<br />
* 11th Meeting of the ACL Special Interest Group on Computational Morphology and Phonology<br />
* TextGraphs-5 &#8211; 2010 Workshop on Graph-based Methods for Natural Language Processing<br />
* 2010 Named Entities Workshop<br />
* 2010 Workshop on Applications of Tree Automata in Natural Language Processing<br />
* 2010 Workshop on Domain Adaptation for Natural Language Processing<br />
* 2010 Workshop on Companionable Dialogue Systems<br />
* 2010 Workshop on GEometrical Models of Natural Language Semantics</p>
<p>注：转载请注明出处“<a href="http://www.52nlp.cn">我爱自然语言处理</a>”：<a href="http://www.52nlp.cn">www.52nlp.cn</a></p>
<p>本文链接地址：<a href="http://www.52nlp.cn/acl-2010文章已可下载">http://www.52nlp.cn/acl-2010文章已可下载</a></p>
<p>
<!-- Begin Google Adsense code -->
<script type="text/javascript"><!--
google_ad_client = "pub-4332174469367599";
/* 336x280, 创建于 09-2-7 */
google_ad_slot = "5707022987";
google_ad_width = 336;
google_ad_height = 280;
//-->
</script>
<script type="text/javascript"
src="http://pagead2.googlesyndication.com/pagead/show_ads.js">
</script>
<!-- End Google Adsense code -->
      </p>


<p>相关文章:<ol><li><a href='http://www.52nlp.cn/acl-anthology-computational-linguistics-digital-archive' rel='bookmark' title='Permanent Link: ACL Anthology——计算语言学的数字档案'>ACL Anthology——计算语言学的数字档案</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-prospect' rel='bookmark' title='Permanent Link: COLING 2010前瞻——规则与统计共舞，语言随计算齐飞'>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</a></li>
<li><a href='http://www.52nlp.cn/acl-wiki-encyclopedia-of-computational-linguistics' rel='bookmark' title='Permanent Link: ACL Wiki——计算语言学的百科全书'>ACL Wiki——计算语言学的百科全书</a></li>
<li><a href='http://www.52nlp.cn/about-acl-anthology-network' rel='bookmark' title='Permanent Link: ACL Anthology 姊妹篇：ACL Anthology Network'>ACL Anthology 姊妹篇：ACL Anthology Network</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/getting-started-in-natural-language-processing' rel='bookmark' title='Permanent Link: 如何学习自然语言处理'>如何学习自然语言处理</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-best-paper-awards' rel='bookmark' title='Permanent Link: ACL 2010 Best Paper Awards'>ACL 2010 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-common-abbreviations-acronyms' rel='bookmark' title='Permanent Link: 自然语言处理及计算语言学常见缩略语'>自然语言处理及计算语言学常见缩略语</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-seven-other-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之七：其他书籍'>自然语言处理与计算语言学书籍汇总之七：其他书籍</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-six-foreign-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之六：国外书籍'>自然语言处理与计算语言学书籍汇总之六：国外书籍</a></li>
</ol></p>]]></content:encoded>
			<wfw:commentRss>http://www.52nlp.cn/acl-2010%e6%96%87%e7%ab%a0%e5%b7%b2%e5%8f%af%e4%b8%8b%e8%bd%bd/feed</wfw:commentRss>
		<slash:comments>10</slash:comments>
		</item>
		<item>
		<title>COLING 2010: List of Accepted Papers (Oral)</title>
		<link>http://www.52nlp.cn/coling-2010-list-of-accepted-papers-oral</link>
		<comments>http://www.52nlp.cn/coling-2010-list-of-accepted-papers-oral#comments</comments>
		<pubDate>Fri, 04 Jun 2010 12:31:58 +0000</pubDate>
		<dc:creator>52nlp</dc:creator>
				<category><![CDATA[自然语言处理]]></category>
		<category><![CDATA[计算语言学]]></category>
		<category><![CDATA[COLING]]></category>
		<category><![CDATA[COLING 2010]]></category>
		<category><![CDATA[中文信息学会]]></category>

		<guid isPermaLink="false">http://www.52nlp.cn/?p=3385</guid>
		<description><![CDATA[　　这是Coling 2010的List of Accepted Papers(Oral)，先是从水木自然语言处理社区看到，才在Coling的官方主页上找到。关于Coling本次的录用情况，水木自然语言处理版已经有过一波大讨论了，有兴趣的读者可以关注一下。 Coling是ACL之外另一个自然语言处理与计算语言学界的顶级会议，全称国际计算语言学大会(International Conference on Computational Linguistics)，每两年举办一次，第23届COLING会议将于2010年8月23日~27日在中国北京举行，由中文信息学会承办。
　　以下仅列出Oral的录用情况，关于Poster的录用情况，可以在Coling 2010官方网站的全部录用结果中找到：
　　http://www.coling-2010.org/accepted%20papers.htm
Oral
   1.  Adrian Bickerstaffe and Ingrid Zukerman. A Hierarchical Classifier Applied to Multi-way Sentiment Detection
   2. Yiping Zhou, Lan Nie and Scott Gaffney. Surface Form Resolution Based on Wikipedia
   3. Zhongwu Zhai, Bing Liu, Hua Xu and Peifa [...]


相关文章:<ol><li><a href='http://www.52nlp.cn/acl-2010-list-of-accepted-papers' rel='bookmark' title='Permanent Link: ACL 2010: List of Accepted Papers'>ACL 2010: List of Accepted Papers</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-paper-%e5%9b%bd%e5%86%85%e7%a0%94%e7%a9%b6%e5%8d%95%e4%bd%8d%e5%bd%95%e7%94%a8%e6%83%85%e5%86%b5' rel='bookmark' title='Permanent Link: ACL 2010 Paper国内研究单位录用情况'>ACL 2010 Paper国内研究单位录用情况</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-prospect' rel='bookmark' title='Permanent Link: COLING 2010前瞻——规则与统计共舞，语言随计算齐飞'>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-two' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时二'>ACL-IJCNLP 2009会议进行时二</a></li>
<li><a href='http://www.52nlp.cn/acl09-full-paper-accepted-details' rel='bookmark' title='Permanent Link: ACL09 Full Paper录用情况'>ACL09 Full Paper录用情况</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-common-abbreviations-acronyms' rel='bookmark' title='Permanent Link: 自然语言处理及计算语言学常见缩略语'>自然语言处理及计算语言学常见缩略语</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-best-paper-awards' rel='bookmark' title='Permanent Link: ACL 2010 Best Paper Awards'>ACL 2010 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/acl09-acceptance-rates-by-areas' rel='bookmark' title='Permanent Link: ACL09 Full Paper各研究领域的录用情况'>ACL09 Full Paper各研究领域的录用情况</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-machine-translation-faq' rel='bookmark' title='Permanent Link: 自然语言处理与机器翻译FAQ'>自然语言处理与机器翻译FAQ</a></li>
</ol>]]></description>
			<content:encoded><![CDATA[<p>　　这是Coling 2010的List of Accepted Papers(Oral)，先是从水木自然语言处理社区看到，才在Coling的官方主页上找到。关于Coling本次的录用情况，水木自然语言处理版已经有过一波大讨论了，有兴趣的读者可以关注一下。 Coling是ACL之外另一个自然语言处理与计算语言学界的顶级会议，全称国际计算语言学大会(International Conference on Computational Linguistics)，每两年举办一次，第23届COLING会议将于2010年8月23日~27日在中国北京举行，由中文信息学会承办。<span id="more-3385"></span><br />
　　以下仅列出Oral的录用情况，关于Poster的录用情况，可以在Coling 2010官方网站的全部录用结果中找到：<br />
　　<a href="http://www.coling-2010.org/accepted%20papers.htm"target=_blank>http://www.coling-2010.org/accepted%20papers.htm</a></p>
<p>Oral<br />
   1.  Adrian Bickerstaffe and Ingrid Zukerman. A Hierarchical Classifier Applied to Multi-way Sentiment Detection<br />
   2. Yiping Zhou, Lan Nie and Scott Gaffney. Surface Form Resolution Based on Wikipedia<br />
   3. Zhongwu Zhai, Bing Liu, Hua Xu and Peifa Jia. Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints<br />
   4. Qin Gao, Francisco Guzman and Stephan Vogel. EMDC: A Semi-supervised Approach for Word Alignment<br />
   5. George Tsatsaronis, Iraklis Varlamis and Kjetil Nørvåg. SemanticRank: Ranking Keywords and Sentences Using Semantic Graphs<br />
   6. Jian Huang, Pucktada Treeratpituk, Sarah Taylor and C. Lee Giles. Enhancing Cross Document Coreference of Web Documents with Context Similarity and Very Large Scale Text Categorization<br />
   7. Verena Henrich and Erhard Hinrichs. Standardizing Wordnets in the ISO Standard Wordnet-LMF: The Case of GermaNet<br />
   8. Ekaterina Shutova, Lin Sun and Anna Korhonen. Metaphor Identification Using Verb and Noun Clustering<br />
   9. Xiaoyan Cai, Wenjie Li and You Ouyang. Simultaneous Ranking and Clustering of Sentences: An Reinforcement Approach to Multi-Document Summarization<br />
  10. Peter Nilsson and Pierre Nugues. Automatic Discovery of Feature Sets for Dependency Parsing<br />
  11. Kavita Ganesan and ChengXiang Zhai. Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions<br />
  12. Doo Soon Kim, Ken Barker and Bruce Porter. Improving the Quality of Text Understanding by Delaying Ambiguity Resolution<br />
  13. Gumwon Hong, Chi-Ho Li, Ming Zhou and Hae-Chang Rim. An Empirical Study on Web Mining of Parallel Data<br />
  14. Nigel Collier, Reiko Matsuda Goodwin, John McCrae, Son Doan, Ai Kawazoe, Mike Conway, Asanee Kawtrakul, Koichi Takeuchi and Dinh Dien. An ontology-driven system for detecting global health events<br />
  15. Changqin Quan and Fuji Ren. An Exploration of Features for Recognizing Word Emotion<br />
  16. Jun Sun, Min Zhang and Chew Lim Tan. Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data<br />
  17. Wanxiang Che and Ting Liu. Jointly Modeling WSD and SRL with Markov Logic<br />
  18. Su Nam Kim, Timothy Baldwin and Min-Yen Kan. Evaluating N-gram based Evaluation Metrics for Automatic Keyphrase Extraction<br />
  19. Yang Liu and Qun Liu. Joint Parsing and Translation<br />
  20. Shiqi Zhao, Haifeng Wang and Ting Liu. Paraphrasing with Search Engine Query Logs<br />
  21. Daniel Tse and James R. Curran. Chinese CCGbank: extracting CCG derivations from the Penn Chinese Treebank<br />
  22. Liang-Chih Yu, Hsiu-Min Shih, Yu-Ling Lai, Jui-Feng Yeh and Chung-Hsien Wu. Discriminative Training for Near-Synonym Substitution<br />
  23. Shiqi Zhao, Haifeng Wang, Xiang Lan and Ting Liu. Leveraging Multiple MT Engines for Paraphrase Generation<br />
  24. Audrey Laroche and Philippe Langlais. Revisiting Context-based Projection Methods for Term-Translation Spotting in Comparable Corpora<br />
  25. Bernd Bohnet. Top Accuracy and Fast Dependency Parsing is not a Contradiction<br />
  26. Sebastian Spiegler and Andrew van der Spuy. Ukwabelana &#8211; An open-source morphological Zulu corpus<br />
  27. Fang KONG, Guodong ZHOU, Longhua QIAN and Qiaoming ZHU. Dependency-driven Anaphoricity Determination for Coreference Resolution<br />
  28. Veronika Vincze and János Csirik. Hungarian Corpus of Light Verb Constructions<br />
  29. ding liu and daniel gildea. Semantic Role Features for Machine Translation<br />
  30. Fan Bu, Xiaoyan Zhu and Ming Li. Measuring the Non-compositionality of Multiword Expressions<br />
  31. Kai Wang and Tat-Seng Chua. Exploiting Salient Patterns for Question Detection and Question Retrieval in Community-based Question Answering<br />
  32. Matthias Hartung and Anette Frank. A Structured Vector Space Model for Hidden Attribute Meaning in Adjective-Noun Phrases<br />
  33. Guintaré Grigonyté, João Paulo Cordeiro, Rumen Moraliyski, Gaël Dias and Pavel Brazdil. Paraphrase Alignment for Synonym Evidence Discovery<br />
  34. Yaakov HaCohen-Kerner, Aharon Tayeb and Natan Ben-Dror. Plagiarism Detection in Computer Science Papers<br />
  35. Shane Bergsma and Colin Cherry. Fast and Accurate Arc Filtering for Dependency Parsing<br />
  36. Fei Huang and Bing Xiang. Feature-Rich Discriminative Phrase Rescoring for SMT<br />
  37. Katja Filippova. Multi-Sentence Compression: Finding Shortest Paths in Word Graphs<br />
  38. Roland Kuhn, Boxing Chen, George Foster and Evan Stratford. Phrase Clustering for Smoothing TM Probabilities – or, How to Extract Paraphrases from Phrase Tables<br />
  39. Josep Maria Crego, Aurélien Max and Fran?ois Yvon. Local lexical adaptation in Machine Translation through triangulation: SMT helping SMT<br />
  40. Young-Suk Lee, Bing Zhao and Xiaoqian Luo. Constituent Reordering and Syntax Models for English-to-Japanese Statistical Machine Translation<br />
  41. Mu Li, Ying-Gong Zhao, Dongdong Zhang and Ming Zhou. Adaptive Log-linear Model Parameter Selection for Statistical Machine Translation<br />
  42. Mengqiu Wang and Christopher Manning. Probabilistic Tree-Edit Models with Structured Latent Variables for Textual Entailment and Question Answering<br />
  43. Sara Salem and Samir AbdelRahman. A Multiple-Domain Ontology Builder<br />
  44. Ge Xu, Xinfan Meng and Houfeng Wang. Build Chinese Emotion Lexicons Using A Graph-based Algorithm and Multiple Resources<br />
  45. Yunfang Wu and Miaomiao Wen. Disambiguating Dynamic Sentiment Ambiguous Adjectives<br />
  46. Shasha Liao and Ralph Grishman. Filtered Ranking for Bootstrapping in Event Extraction<br />
  47. Shoushan Li, Sophia Y. M. Lee, Ying Chen, Chu-Ren Huang and Guodong Zhou. Sentiment Classification and Polarity Shifting<br />
  48. Bernard Brosseau-Villeneuve, Jian-Yun Nie and Noriko Kando. Towards an optimal weighting of context words based on distance<br />
  49. Makoto Miwa, Rune Sætre, Yusuke Miyao and Jun&#8217;ichi Tsujii. Entity-Focused Sentence Simplification for Relation Extraction<br />
  50. Chien Chin Chen and Chen-Yuan Wu. Bipolar Person Name Identification of Topic Documents Using Principal Component Analysis<br />
  51. Fangtao Li, Chao Han, Minlie Huang, Xiaoyan Zhu, Ying-Ju Xia, Shu Zhang and Hao Yu. Structure-Aware Review Mining and Summarization<br />
  52. Hassan Al-Haj and Shuly Wintner. Identifying Multi-word Expressions by Leveraging Morphological and Syntactic Idiosyncrasy<br />
  53. Nan Duan, Mu Li, Dongdong Zhang and Ming Zhou. Mixture Model-based Minimum Bayes Risk Decoding using Multiple Machine Translation Systems<br />
  54. Xinyan Xiao, Yang Liu, YoungSook Hwang, Qun Liu and Shouxun Lin. Joint Tokenization and Translation<br />
  55. Nan Duan. Translation Model Generalization using Probability Averaging for Machine Translation<br />
  56. Anders S?gaard and Christian Rish?j. Robust semi-supervised dependency parsing of German and Swedish using generalized tri-training<br />
  57. Laura Kallmeyer and Wolfgang Maier. Data-Driven Parsing with Probabilistic Linear Context-Free Rewriting Systems<br />
  58. Xian Qian, Qi Zhang, Xuangjing Huang and Lide Wu. 2D Trie for fast parsing<br />
  59. Stergos Afantenos and Nicholas Asher. Testing SDRT&#8217;s Right Frontier: Implications for Machine Learning Discourse Graphs<br />
  60. Naoaki Okazaki and Jun&#8217;ichi Tsujii. Simple and Efficient Algorithm for Approximate Dictionary Matching<br />
  61. Zarrieß Sina, Cahill Aoife, Kuhn Jonas and Rohrer Christian. Cross-Lingual Induction for Deep Broad-Coverage Syntax: A Case Study on German Participles<br />
  62. Jinhua Du and Andy Way. A Discriminative Latent Variable-Based “DE” Classifier for Chinese–English SMT<br />
  63. Makoto Miwa, Sampo Pyysalo, Tadayoshi Hara and Jun&#8217;ichi Tsujii. Evaluating Dependency Representations for Event Extraction<br />
  64. Zhemin Zhu, Delphine Bernhard and Iryna Gurevych. A Monolingual Syntactic Translation Model for Sentence Simplification<br />
  65. Ksenia Shalonova and Bruno Golenia. Weakly Supervised Morphology Learning for Agglutinating Languages Using Small Training Sets.<br />
  66. Xiaojun Wan. Towards a Unified Approach to Simultaneous Single-Document and Multi-Document Summarizations<br />
  67. Seokhwan Kim, Minwoo Jeong, Jonghoon Lee and Gary Geunbae Lee. A Cross-lingual Annotation Projection Approach for Relation Detection<br />
  68. Erwin Marsi and Emiel Krahmer. Automatic analysis of semantic similarity in comparable text through syntactic tree matching<br />
  69. Chao Shen and Tao Li. Multi-Document Summarization via the Minimum Dominating Set<br />
  70. Kun Wang, Chengqing Zong and Keh-Yih Su. A Character-Based Joint Model for Chinese Word Segmentation<br />
  71. Sung-Pil Choi and Sung-Hyon Myaeng. Simplicity is Better: Revisiting Single Kernel PPI Extraction<br />
  72. Tao Zhuang and Chengqing Zong. A Minimum Error Weighting Combination Strategy for Chinese Semantic Role Labeling<br />
  73. Hui Yang, Anne De Roeck, Alistair Willis and Bashar Nuseibeh. A Methodology for Automatic Identification of Nocuous Ambiguity<br />
  74. Toyomi Meguro, Ryuichiro Higashinaka, Yasuhiro Minami and Kohji Dohsaka. Controlling Listening-oriented Dialogue using Partially Observable Markov Decision Processes<br />
  75. Makbule Ozsoy, Ilyas Cicekli and Ferda Alpaslan. Text Summarization of Turkish Texts using Latent Semantic Analysis<br />
  76. Alena Neviarouskaya, Helmut Prendinger and Mitsuru Ishizuka. Recognition of Affect, Judgment, and Appreciation in Text<br />
  77. Mark Dredze, Paul McNamee, Delip Rao, Adam Gerber and Tim Finin. Entity Disambiguation for Knowledge Base Population<br />
  78. Minh-Thang Luong and Min-Yen Kan. Enhancing Morphological Alignment for Translating Highly Inflected Languages<br />
  79. Junhui Li, Guodong Zhou and Qiaoming Zhu. Learning the Scope of Negation via Shallow Semantic Parsing<br />
  80. Graeme Blackwood, Adrià de Gispert and William Byrne. Fluency Constraints for Minimum Bayes-Risk Decoding of Statistical Machine Translation Lattices<br />
  81. Muhua Zhu, Jingbo Zhu and Tong Xiao. Heterogeneous Parsing via Collaborative Decoding<br />
  82. Yue Lu, Huizhong Duan, Hongning Wang and ChengXiang Zhai. Exploiting Structured Ontology to Organize Scattered Online Opinions<br />
  83. Richard Johansson and Alessandro Moschitti. Reranking Models in Fine-grained Opinion Analysis<br />
  84. Ying Chen, Sophia Yat Mei Lee, Shoushan Li and Chu-Ren Huang. Emotion Cause Detection with Linguistic Constructions<br />
  85. Karthik Visweswariah, Jiri Navratil, Jeffrey Sorensen, Vijil Chenthamarakshan and Nandakishore Kambhatla. Syntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation<br />
  86. Bo Li and Eric Gaussier. Improving Corpus Comparability for Bilingual Lexicon Extraction from Comparable Corpora<br />
  87. Zhaopeng Tu, Yang Liu, Young-Sook Hwang, Qun Liu and Shouxun Lin. Dependency Forest for Statistical Machine Translation<br />
  88. Tomek Strzalkowski, George Aaron Broadwell, Jennifer Stromer-Galley, Samira Shaikh, Sarah Taylor and Nick Webb. Modeling Socio-Cultural Phenomena in Discourse<br />
  89. Henning Wachsmuth, Peter Prettenhofer and Benno Stein. Ef?cient Statement Identi?cation for Automatic Market Forecasting<br />
  90. Spence Green and Christopher D. Manning. Better Arabic Parsing: Baselines, Evaluations, and Analysis<br />
  91. Jian Zhang and Pascale Fung. A Rhetorical Syntax-Driven Model for Speech Summarization<br />
  92. Nuria Bel, Maria Coll and Gabriela Resnik. Automatic Detection of Non-deverbal Event Nouns for Quick Lexicon Production<br />
  93. Joakim Nivre, Laura Rimell, Ryan McDonald and Carlos Gómez Rodríguez. Evaluation of Dependency Parsers on Unbounded Dependencies<br />
  94. Lin Sun, Thierry Poibeau, Anna Korhonen and Cedric Messiant. Investigating the cross-linguistic potential of VerbNet -style classification<br />
  95. Sebastian Spiegler and Christian Monson. EMMA: A novel Evaluation Metric for Morphological Analysis<br />
  96. Naoki Yoshinaga and Masaru Kitsuregawa. Kernel Slicing: Scalable Online Training with Conjunctive Features<br />
  97. Xiaohua LIU, Kuan LI, Bo HAN, Ming ZHOU and Long JIANG. Semantic Role Labeling for News Tweets<br />
  98. Hector Llorens, Estela Saquete and Borja Navarro. TimeML Events Recognition and Classification: Learning CRF Models with Semantic Roles<br />
  99. Dmitry Davidov and Ari Rappoport. Automated Translation of Semantic Relationships<br />
 100. Bernd Bohnet, Leo Wanner, Simon Mill and Alicia Burga. Broad Coverage Multilingual Deep Sentence Generation with a Stochastic Multi-Level Realizer<br />
 101. Smruthi Mukund, Debanjan Ghosh and Rohini Srihari. Using Cross-Lingual Projections to Generate Semantic Role Labeled Annotated Corpus for Urdu &#8211; A Resource Poor Language<br />
 102. Michael Roth and Anette Frank. EM-based Alignment of Routes and Route Directions for Natural Language Generation<br />
 103. Lilja Øvrelid, Erik Velldal and Stephan Oepen. Syntactic Scope Resolution in Uncertainty Analysis<br />
 104. Vahed Qazvinian and Dragomir R. Radev. Citation Summarization Through Keyphrase Extraction<br />
 105. Jianfeng Gao, Xiaolong Li, Daniel Micol and Chris Quirk. A Large Scale Ranker-Based System A large scale ranker-bsaed system for search query spelling correction<br />
 106. Fabio Massimo Zanzotto, Ioannis Korkontzelos, Francesca Fallucchi and Suresh Manandhar. Estimating Linear Models for Compositional Distributional Semantics<br />
 107. Daniel Andrade, Tetsuya Nasukawa and Junichi Tsujii. Robust Measurement and Comparison of Context Similarity for Finding Translation Pairs<br />
 108. Markus Dickinson. Generating Learner-Like Morphological Errors in Russian<br />
 109. Alberto Barrón-Cede?o, Paolo Rosso, Eneko Agirre and Gorka Labaka. Plagiarism Detection across Distant Language Pairs<br />
 110. ThuyLinh Nguyen, Stephan Vogel and Noah A. Smith. Nonparametric Word Segmentation for Machine Translation<br />
 111. Claire Gardent and Laura Perez-Beltrachini. Efficient RTG based surface realisation for TAG<br />
 112. Rohit Kate, Xiaoqiang Luo, Siddharth Patwardhan, Martin Franz, Radu Florian, Raymond Mooney, Salim Roukos and Chris Welty. Learning to Predict Readability using Diverse Linguistic Features<br />
 113. Tong Wang and Graeme Hirst. Near-synonym Lexical Choice in Latent Semantic Space<br />
 114. Xiaowen Ding and Bing Liu. Resolving Object and Attribute Coreference in Opinion Mining<br />
 115. Ines Rehbein, Josef Ruppenhofer and Alexis Palmer. Bringing Active Learning to Life<br />
 116. Shachar Mirkin, Jonathan Berant, Ido Dagan and Eyal Shnarch. Recognising Entailment within Discourse<br />
 117. Alpa Jain and Patrick Pantel. FactRank: Random Walks on a Web of Facts<br />
 118. Petr Knoth, Jakub Novotny and Zdenek Zdrahal. Automatic generation of inter-passage links based on textual analysis of content<br />
 119. Andre Blessing and Hinrich Schütze. Self-Annotation for fine-grained geospatial relation extraction<br />
 120. Bart Cramer and Yi Zhang. Constraining robust constructions for broad-coverage parsing with precision grammars<br />
 121. Alpa Jain and Marco Pennacchiotti. Open Entity Extraction fromWeb Search Query Logs<br />
 122. Simon Zwarts, Mark Johnson and Robert Dale. Detecting Speech Repairs Incrementally Using a Noisy Channel Approach<br />
 123. Shuming Shi, Huibin Zhang, Xiaojie Yuan and Ji-Rong Wen. Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches<br />
 124. Mark Johnson and Katherine Demuth. Unsupervised phonemic Chinese word segmentation using Adaptor Grammars<br />
 125. Sujith Ravi, Ashish Vaswani, Kevin Knight and David Chiang. Fast, Greedy Model Minimization for Unsupervised Tagging<br />
 126. Sanae Fujita and Masaaki Nagata. Enriching Dictionaries with Images from the Internet &#8211; Targeting Wikipedia and a Japanese Semantic Lexicon: Lexeed -<br />
 127. Dmitriy Genzel. Automatically Learning Source-side Reordering Rules for Large Scale Machine Translation<br />
 128. Bin Chen, Jian Su and Chew Lim Tan. A Twin-Candidate Based Approach for Event Pronoun Resolution using Composite Kernel<br />
 129. Yao Yao and Feng-hsi Liu. A Working Report on Statistically Modeling Dative Variation in Mandarin Chinese<br />
 130. Emily Pitler, Shane Bergsma, Dekang Lin and Kenneth Church. Using Web-scale N-grams to Improve Base NP Parsing Performance<br />
 131. Derya Ozkan, Kenji Sagae and Louis-Philippe Morency. Latent Mixture of Discriminative Experts for Multimodal Prediction Modeling<br />
 132. Carmen Banea, Rada Mihalcea and Janyce Wiebe. Multilingual Subjectivity: Are More Languages Better?<br />
 133. Tom Lippincott, Diarmuid ó Séaghdha, Lin Sun and Anna Korhonen. Exploring variation across biomedical subdomains<br />
 134. Jie Cai and Michael Strube. End-to-End Coreference Resolution via Hypergraph Partitioning<br />
 135. Pascal Denis and Philippe Muller. Comparison of different algebras for inducing the temporal structure of texts<br />
 136. Yang Wang and Kathleen McKeown. “Got You!”: Automatic Vandalism Detection in Wikipedia with Web-based Syntactic-Semantic Modeling<br />
 137. Katsuhiko Hayashi, Hajime Tsukada, Katsuhito Sudoh, Kevin Duh and Seiichi Yamamoto. Hierarchical Phrase-based Machine Translation with Word-based Reordering Model<br />
 138. Razvan Bunescu and Yunfeng Huang. A Utility-Driven Approach to Question Ranking<br />
 139. Jakob Uszkoreit, Jay Ponte, Ashok Popat and Moshe Dubiner. Large Scale Parallel Document Mining for Machine Translation<br />
 140. Xiance Si and Maosong Sun. Explore the Structure of Social Tags by Subsumption Relations<br />
 141. Mitesh Khapra, Saurabh Sohoney, Anup Kulkarni and Pushpak Bhattacharyya. Value for Money: Balancing Annotation Effort, Lexicon Building and Accuracy for Multilingual WSD<br />
 142. Mei Yang and Katrin Kirchhoff. Contextual Modeling for Meeting Translation Using Unsupervised Word Sense Disambiguation<br />
 143. Yee Seng Chan and Dan Roth. Exploiting Background Knowledge for Relation Extraction<br />
 144. Jong-Hoon Oh, Ichiro Yamada, Kentaro Torisawa and De Saeger Stijn. Co-STAR: A Co-training Style Algorithm for Hyponymy Relation Acquisition from Structured and Unstructured Text<br />
 145. Yuncong Chen and Pascale Fung. Unsupervised Synthesis of Multilingual Wikipedia Articles<br />
 146. Xiaofeng YU and Wai LAM. Jointly Identifying Entities and Extracting Relations in Encyclopedia Text via A Graphical Model Approach<br />
 147. Ryan Georgi, Fei Xia and Will Lewis. Comparing Language Similarity Across Genetic and Typologically-Based Groupings<br />
 148. Julia Hockenmaier and Yonatan Bisk. Normal-form parsing for Combinatory Categorial Grammars with generalized composition and type-raising<br />
 149. Lizhen Qu, Georgiana Ifrim and Gerhard Weikum. The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns<br />
 150. Yanqing He and Yu Zhou. A Novel Reordering Model Based on Multi-layer Phrase for Statistical Machine Translation<br />
 151. Jeff Pasternack and Dan Roth. Knowing what to Believe (when you already know something)<br />
 152. Wei Zhang, Jian Su and Chew Lim Tan. Entity Linking Leveraging Automatically Generated Annotation<br />
 153. Yajuan Duan, Long Jiang, Tao Qin, Ming Zhou and Harry Shum. An Empirical Study on Learning to Rank of Tweets<br />
 154. Shanheng Zhao and Hwee Tou Ng. Maximum Metric Score Training for Coreference Resolution<br />
 155. Sheng Guo and Naren Ramakrishnan. Finding the Storyteller: Automatic Spoiler Tagging using Linguistic Cues<br />
 156. Altaf Rahman and Vincent Ng. Fine-Grained Semantic Class Induction via Hierarchical and Collective Classification<br />
 157. Yao-zhong Zhang, Takuya Matsuzaki and Jun&#8217;ichi Tsujii. Forest-guided Supertagger Training</p>
<p>注：转载请注明出处“<a href="http://www.52nlp.cn">我爱自然语言处理</a>”：<a href="http://www.52nlp.cn">www.52nlp.cn</a></p>
<p>本文链接地址：<a href="http://www.52nlp.cn/coling-2010-list-of-accepted-papers-oral">http://www.52nlp.cn/coling-2010-list-of-accepted-papers-oral</a></p>
<p>
<!-- Begin Google Adsense code -->
<script type="text/javascript"><!--
google_ad_client = "pub-4332174469367599";
/* 336x280, 创建于 09-2-7 */
google_ad_slot = "5707022987";
google_ad_width = 336;
google_ad_height = 280;
//-->
</script>
<script type="text/javascript"
src="http://pagead2.googlesyndication.com/pagead/show_ads.js">
</script>
<!-- End Google Adsense code -->
</p>


<p>相关文章:<ol><li><a href='http://www.52nlp.cn/acl-2010-list-of-accepted-papers' rel='bookmark' title='Permanent Link: ACL 2010: List of Accepted Papers'>ACL 2010: List of Accepted Papers</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-paper-%e5%9b%bd%e5%86%85%e7%a0%94%e7%a9%b6%e5%8d%95%e4%bd%8d%e5%bd%95%e7%94%a8%e6%83%85%e5%86%b5' rel='bookmark' title='Permanent Link: ACL 2010 Paper国内研究单位录用情况'>ACL 2010 Paper国内研究单位录用情况</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-prospect' rel='bookmark' title='Permanent Link: COLING 2010前瞻——规则与统计共舞，语言随计算齐飞'>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-two' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时二'>ACL-IJCNLP 2009会议进行时二</a></li>
<li><a href='http://www.52nlp.cn/acl09-full-paper-accepted-details' rel='bookmark' title='Permanent Link: ACL09 Full Paper录用情况'>ACL09 Full Paper录用情况</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-common-abbreviations-acronyms' rel='bookmark' title='Permanent Link: 自然语言处理及计算语言学常见缩略语'>自然语言处理及计算语言学常见缩略语</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-best-paper-awards' rel='bookmark' title='Permanent Link: ACL 2010 Best Paper Awards'>ACL 2010 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/acl09-acceptance-rates-by-areas' rel='bookmark' title='Permanent Link: ACL09 Full Paper各研究领域的录用情况'>ACL09 Full Paper各研究领域的录用情况</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-machine-translation-faq' rel='bookmark' title='Permanent Link: 自然语言处理与机器翻译FAQ'>自然语言处理与机器翻译FAQ</a></li>
</ol></p>]]></content:encoded>
			<wfw:commentRss>http://www.52nlp.cn/coling-2010-list-of-accepted-papers-oral/feed</wfw:commentRss>
		<slash:comments>9</slash:comments>
		</item>
		<item>
		<title>ACL 2010 Paper国内研究单位录用情况</title>
		<link>http://www.52nlp.cn/acl-2010-paper-%e5%9b%bd%e5%86%85%e7%a0%94%e7%a9%b6%e5%8d%95%e4%bd%8d%e5%bd%95%e7%94%a8%e6%83%85%e5%86%b5</link>
		<comments>http://www.52nlp.cn/acl-2010-paper-%e5%9b%bd%e5%86%85%e7%a0%94%e7%a9%b6%e5%8d%95%e4%bd%8d%e5%bd%95%e7%94%a8%e6%83%85%e5%86%b5#comments</comments>
		<pubDate>Tue, 27 Apr 2010 14:57:17 +0000</pubDate>
		<dc:creator>52nlp</dc:creator>
				<category><![CDATA[自然语言处理]]></category>
		<category><![CDATA[计算语言学]]></category>
		<category><![CDATA[ACL]]></category>
		<category><![CDATA[ACL2010]]></category>
		<category><![CDATA[东北大学]]></category>
		<category><![CDATA[刘群]]></category>
		<category><![CDATA[北大]]></category>
		<category><![CDATA[周明]]></category>
		<category><![CDATA[哈工大]]></category>
		<category><![CDATA[自动化所]]></category>
		<category><![CDATA[苏州大学]]></category>
		<category><![CDATA[计算所]]></category>

		<guid isPermaLink="false">http://www.52nlp.cn/?p=3343</guid>
		<description><![CDATA[　　首先感谢几位热心读者对《ACL 2010: List of Accepted Papers》的补充，这里做个总结，如有遗漏和错误之处，欢迎指正。以下是ACL 2010国内研究单位的录用情况：
　　注：所列录用文章并没有区分full paper 和 short paper的录用情况，读者可参考ACL官方网站的录用文章公布清单：List of Accepted Papers，非常感谢neu-nlplab的提醒。
　　
1、中科院计算所刘群老师自然语言处理研究组四篇：
BETTER FILTRATION AND AUGMENTATION FOR HIERARCHICAL PHRASE-BASED TRANSLATION RULES
Zhiyang Wang, Yajuan Lv and Qun Liu
CONSTITUENT-TO-DEPENDENCY TRANSLATION WITH FORESTS
Haitao Mi and Qun Liu
DEPENDENCY PARSING AND PROJECTION BASED ON WORD-PAIR CLASSIFICATION
Wenbin Jiang and Qun Liu
LEARNING LEXICALIZED REORDERING MODELS FROM REORDERING GRAPHS
Jinsong Su, Yang Liu, [...]


相关文章:<ol><li><a href='http://www.52nlp.cn/acl-2010-list-of-accepted-papers' rel='bookmark' title='Permanent Link: ACL 2010: List of Accepted Papers'>ACL 2010: List of Accepted Papers</a></li>
<li><a href='http://www.52nlp.cn/acl09-full-paper-accepted-details' rel='bookmark' title='Permanent Link: ACL09 Full Paper录用情况'>ACL09 Full Paper录用情况</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-list-of-accepted-papers-oral' rel='bookmark' title='Permanent Link: COLING 2010: List of Accepted Papers (Oral)'>COLING 2010: List of Accepted Papers (Oral)</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-two' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时二'>ACL-IJCNLP 2009会议进行时二</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/about-acl-anthology-network' rel='bookmark' title='Permanent Link: ACL Anthology 姊妹篇：ACL Anthology Network'>ACL Anthology 姊妹篇：ACL Anthology Network</a></li>
<li><a href='http://www.52nlp.cn/acl-2010%e6%96%87%e7%ab%a0%e5%b7%b2%e5%8f%af%e4%b8%8b%e8%bd%bd' rel='bookmark' title='Permanent Link: ACL 2010文章已可下载'>ACL 2010文章已可下载</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-best-paper-awards' rel='bookmark' title='Permanent Link: ACL 2010 Best Paper Awards'>ACL 2010 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-best-paper-awards' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 Best Paper Awards'>ACL-IJCNLP 2009 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/moses-recent-developments-and-others' rel='bookmark' title='Permanent Link: Moses近期动态及其他'>Moses近期动态及其他</a></li>
</ol>]]></description>
			<content:encoded><![CDATA[<p>　　首先感谢几位热心读者对《<a href="http://www.52nlp.cn/acl-2010-list-of-accepted-papers">ACL 2010: List of Accepted Papers</a>》的补充，这里做个总结，如有遗漏和错误之处，欢迎指正。以下是ACL 2010国内研究单位的录用情况：<span id="more-3343"></span><br />
　　注：所列录用文章并没有区分full paper 和 short paper的录用情况，读者可参考ACL官方网站的录用文章公布清单：<a href="http://acl2010.org/accepted_papers.html">List of Accepted Papers</a>，非常感谢neu-nlplab的提醒。<br />
　　<br />
<strong>1、中科院计算所刘群老师自然语言处理研究组四篇：</strong></p>
<p>BETTER FILTRATION AND AUGMENTATION FOR HIERARCHICAL PHRASE-BASED TRANSLATION RULES<br />
Zhiyang Wang, Yajuan Lv and Qun Liu</p>
<p>CONSTITUENT-TO-DEPENDENCY TRANSLATION WITH FORESTS<br />
Haitao Mi and Qun Liu</p>
<p>DEPENDENCY PARSING AND PROJECTION BASED ON WORD-PAIR CLASSIFICATION<br />
Wenbin Jiang and Qun Liu</p>
<p>LEARNING LEXICALIZED REORDERING MODELS FROM REORDERING GRAPHS<br />
Jinsong Su, Yang Liu, Yajuan Lv and Qun Liu</p>
<p><strong>2、微软亚洲研究院周明老师自然语言计算组两篇：</strong></p>
<p>A JOINT RULE SELECTION MODEL FOR HIERARCHICAL PHRASE-BASED TRANSLATION（微软亚洲研究院&#038;哈工大）<br />
Lei Cui, Dongdong Zhang, Mu Li, Ming Zhou and Tiejun Zhao</p>
<p>DISCRIMINATIVE PRUNING FOR DISCRIMINATIVE ITG ALIGNMENT<br />
Shujie Liu（哈工大) and Chi-Ho Li（微软亚洲研究院）</p>
<p><strong>3、哈工大两篇：</strong<br />
（注：与微软亚洲研究院的合作文章未算，谢谢xnzhu提醒。）</p>
<p>IMPROVING STATISTICAL MACHINE TRANSLATION WITH MONOLINGUAL COLLOCATION（哈工大）<br />
Zhanyi Liu, Haifeng Wang, Hua Wu and Sheng Li<br />
（注：王海峰老师已去百度，应属于哈工大和东芝的合作文章，谢谢xnzhu提醒。）</p>
<p>MODELING SEMANTIC RELEVANCE FOR QUESTION-ANSWER PAIRS IN WEB SOCIAL COMMUNITIES（哈工大）<br />
Baoxun Wang, Xiaolong Wang, Bingquan Liu, Chengjie Sun and Lin Sun</p>
<p><strong>4、中科院自动化所两篇：</strong></p>
<p>ON JOINTLY RECOGNIZING AND ALIGNING BILINGUAL NAMED ENTITIES（中科院自动化所）<br />
Yufeng Chen, Chengqing Zong and Keh-Yih Su</p>
<p>STRUCTURAL SEMANTIC RELATEDNESS: A KNOWLEDGE-BASED METHOD TO NAMED ENTITY DISAMBIGUATION（中科院自动化所）<br />
Xianpei Han and Jun Zhao</p>
<p><strong>5、苏州大学自然语言处理实验室两篇：</strong></p>
<p>EMPLOYING PERSONAL/IMPERSONAL VIEWS IN SUPERVISED AND SEMI-SUPERVISED SENTIMENT CLASSIFICATION<br />
Shoushan Li, Chu-Ren Huang, Guodong Zhou and Sophia Y. M. </p>
<p>JOINT SYNTACTIC AND SEMANTIC PARSING OF CHINESE（苏州大学）<br />
Junhui Li, Guodong Zhou and Hwee Tou Ng</p>
<p><strong>6、东北大学一篇</strong></p>
<p>BOOSTING-BASED SYSTEM COMBINATION FOR MACHINE TRANSLATION（东北大学）<br />
Tong Xiao, Jingbo Zhu, Muhua Zhu and Huizhen Wang</p>
<p>（注：谢谢neu-nlplab指正）</p>
<p><strong>7、北京大学两篇</strong></p>
<p>CROSS-LANGUAGE DOCUMENT SUMMARIZATION BASED ON MACHINE TRANSLATION QUALITY PREDICTION<br />
Xiaojun Wan（北大）</p>
<p>A SEMI-SUPERVISED KEY PHRASE EXTRACTION APPROACH: LEARNING FROM TITLE PHRASES THROUGH A DOCUMENT SEMANTIC NETWORK<br />
Decong Li, Sujian Li（北大）and Wenjie Li（香港理工大学）<br />
（注：这篇文章似乎属于北大&#038;香港理工大学的合作文章）</p>
<p><strong>8、其他：</strong><br />
COMPARABLE ENTITY MINING FROM COMPARATIVE QUESTIONS<br />
Shasha Li, Chin-Yew Lin, Young-In Song and Zhoujun Li<br />
（国防科大&#038;微软亚洲研究院&#038;北航）</p>
<p>NEWS RECOMMENDATION IN FORUM-BASED SOCIAL MEDIA<br />
Jia Wang, Qing Li, Yuanzhu Peter Chen and Zhangxi Lin<br />
(西南财经大学）</p>
<p>注：转载请注明出处“<a href="http://www.52nlp.cn">我爱自然语言处理</a>”：<a href="http://www.52nlp.cn">www.52nlp.cn</a></p>
<p>本文链接地址：<a href="http://www.52nlp.cn/acl-2010-paper-国内研究单位录用情况">http://www.52nlp.cn/acl-2010-paper-国内研究单位录用情况</a></p>
<p>
<!-- Begin Google Adsense code -->
<script type="text/javascript"><!--
google_ad_client = "pub-4332174469367599";
/* 336x280, 创建于 09-2-7 */
google_ad_slot = "5707022987";
google_ad_width = 336;
google_ad_height = 280;
//-->
</script>
<script type="text/javascript"
src="http://pagead2.googlesyndication.com/pagead/show_ads.js">
</script>
<!-- End Google Adsense code -->
</p>


<p>相关文章:<ol><li><a href='http://www.52nlp.cn/acl-2010-list-of-accepted-papers' rel='bookmark' title='Permanent Link: ACL 2010: List of Accepted Papers'>ACL 2010: List of Accepted Papers</a></li>
<li><a href='http://www.52nlp.cn/acl09-full-paper-accepted-details' rel='bookmark' title='Permanent Link: ACL09 Full Paper录用情况'>ACL09 Full Paper录用情况</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-list-of-accepted-papers-oral' rel='bookmark' title='Permanent Link: COLING 2010: List of Accepted Papers (Oral)'>COLING 2010: List of Accepted Papers (Oral)</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-two' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时二'>ACL-IJCNLP 2009会议进行时二</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/about-acl-anthology-network' rel='bookmark' title='Permanent Link: ACL Anthology 姊妹篇：ACL Anthology Network'>ACL Anthology 姊妹篇：ACL Anthology Network</a></li>
<li><a href='http://www.52nlp.cn/acl-2010%e6%96%87%e7%ab%a0%e5%b7%b2%e5%8f%af%e4%b8%8b%e8%bd%bd' rel='bookmark' title='Permanent Link: ACL 2010文章已可下载'>ACL 2010文章已可下载</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-best-paper-awards' rel='bookmark' title='Permanent Link: ACL 2010 Best Paper Awards'>ACL 2010 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-best-paper-awards' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 Best Paper Awards'>ACL-IJCNLP 2009 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/moses-recent-developments-and-others' rel='bookmark' title='Permanent Link: Moses近期动态及其他'>Moses近期动态及其他</a></li>
</ol></p>]]></content:encoded>
			<wfw:commentRss>http://www.52nlp.cn/acl-2010-paper-%e5%9b%bd%e5%86%85%e7%a0%94%e7%a9%b6%e5%8d%95%e4%bd%8d%e5%bd%95%e7%94%a8%e6%83%85%e5%86%b5/feed</wfw:commentRss>
		<slash:comments>32</slash:comments>
		</item>
		<item>
		<title>ACL 2010: List of Accepted Papers</title>
		<link>http://www.52nlp.cn/acl-2010-list-of-accepted-papers</link>
		<comments>http://www.52nlp.cn/acl-2010-list-of-accepted-papers#comments</comments>
		<pubDate>Mon, 26 Apr 2010 14:22:34 +0000</pubDate>
		<dc:creator>52nlp</dc:creator>
				<category><![CDATA[自然语言处理]]></category>
		<category><![CDATA[计算语言学]]></category>
		<category><![CDATA[ACL]]></category>
		<category><![CDATA[ACL2010]]></category>
		<category><![CDATA[东北大学]]></category>
		<category><![CDATA[刘群]]></category>
		<category><![CDATA[北大]]></category>
		<category><![CDATA[周明]]></category>
		<category><![CDATA[计算所]]></category>

		<guid isPermaLink="false">http://www.52nlp.cn/?p=3332</guid>
		<description><![CDATA[　　ACL会议（Annual Meeting of the Association for Computational Linguistics）是自然语言处理与计算语言学领域最高级别的学术会议，由计算语言学协会主办，每年一届。ACL 2010是第48届年会，将于7月11日~16日在瑞典乌普萨拉举办，由乌普萨拉大学语言学系主办（The 48th Annual Meeting of the Association for Computational Linguistics will be held in Uppsala, Sweden, July 11–16, 2010. The conference will be organized by the Department of Linguistics and Philology at Uppsala University）。
　　今天ACL2010官方网站上列出了今年的full paper录用文章及学生workshop的录用论文，如果读者还记得，去年也稍早一点时间，ACL2009给出了同样的录用文章列表，这里做过记录：ACL09 Full Paper录用情况。以下转载自ACL 2010的官方的“List of Accepted Papers”，我已对部分进行了&#8221;研究单位“的标注，目前已经发现的有中科院计算所刘群老师自然语言处理研究组的四篇，微软亚洲研究院周明老师自然语言计算组两篇，北大两篇，东北大学两篇（?)，欢迎知情的读者继续在这里“爆料”。
A BAYESIAN METHOD FOR ROBUST ESTIMATION OF [...]


相关文章:<ol><li><a href='http://www.52nlp.cn/acl-2010-paper-%e5%9b%bd%e5%86%85%e7%a0%94%e7%a9%b6%e5%8d%95%e4%bd%8d%e5%bd%95%e7%94%a8%e6%83%85%e5%86%b5' rel='bookmark' title='Permanent Link: ACL 2010 Paper国内研究单位录用情况'>ACL 2010 Paper国内研究单位录用情况</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-list-of-accepted-papers-oral' rel='bookmark' title='Permanent Link: COLING 2010: List of Accepted Papers (Oral)'>COLING 2010: List of Accepted Papers (Oral)</a></li>
<li><a href='http://www.52nlp.cn/acl09-full-paper-accepted-details' rel='bookmark' title='Permanent Link: ACL09 Full Paper录用情况'>ACL09 Full Paper录用情况</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-two' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时二'>ACL-IJCNLP 2009会议进行时二</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-common-abbreviations-acronyms' rel='bookmark' title='Permanent Link: 自然语言处理及计算语言学常见缩略语'>自然语言处理及计算语言学常见缩略语</a></li>
<li><a href='http://www.52nlp.cn/acl09-acceptance-rates-by-areas' rel='bookmark' title='Permanent Link: ACL09 Full Paper各研究领域的录用情况'>ACL09 Full Paper各研究领域的录用情况</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-prospect' rel='bookmark' title='Permanent Link: COLING 2010前瞻——规则与统计共舞，语言随计算齐飞'>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</a></li>
<li><a href='http://www.52nlp.cn/about-acl-anthology-network' rel='bookmark' title='Permanent Link: ACL Anthology 姊妹篇：ACL Anthology Network'>ACL Anthology 姊妹篇：ACL Anthology Network</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-best-paper-awards' rel='bookmark' title='Permanent Link: ACL 2010 Best Paper Awards'>ACL 2010 Best Paper Awards</a></li>
</ol>]]></description>
			<content:encoded><![CDATA[<p>　　ACL会议（Annual Meeting of the Association for Computational Linguistics）是自然语言处理与计算语言学领域最高级别的学术会议，由计算语言学协会主办，每年一届。ACL 2010是第48届年会，将于7月11日~16日在瑞典乌普萨拉举办，由乌普萨拉大学语言学系主办（The 48th Annual Meeting of the Association for Computational Linguistics will be held in Uppsala, Sweden, July 11–16, 2010. The conference will be organized by the Department of Linguistics and Philology at Uppsala University）。<br />
　　今天ACL2010官方网站上列出了今年的full paper录用文章及学生workshop的录用论文，如果读者还记得，去年也稍早一点时间，ACL2009给出了同样的录用文章列表，这里做过记录：<a href="http://www.52nlp.cn/acl09-full-paper-accepted-details">ACL09 Full Paper录用情况</a>。以下转载自ACL 2010的官方的“<a href="http://acl2010.org/accepted_papers.html"target=_blank>List of Accepted Papers</a>”，我已对部分进行了&#8221;研究单位“的标注，目前已经发现的有中科院计算所刘群老师自然语言处理研究组的四篇，微软亚洲研究院周明老师自然语言计算组两篇，北大两篇，东北大学两篇（?)，欢迎知情的读者继续在这里“爆料”。<span id="more-3332"></span></p>
<p>A BAYESIAN METHOD FOR ROBUST ESTIMATION OF DISTRIBUTIONAL SIMILARITIES<br />
Jun&#8217;ichi Kazama, Stijn De Saeger, Kow Kuroda, Masaki Murata and Kentaro<br />
Torisawa</p>
<p>A CONSTRAINT PROGRAMMING METHOD FOR DETERMINISTIC BLOOM FILTERING OF CONCEPT LATTICES<br />
Matthew Skala, Victoria Krakovna, János Kramár and Gerald Penn</p>
<p>A GAME-THEORETIC MODEL OF METAPHORICAL BARGAINING<br />
Beata Beigman Klebanov and Eyal Beigman</p>
<p>A HYBRID HIERARCHICAL MODEL FOR MULTI-DOCUMENT SUMMARIZATION<br />
Asli Celikyilmaz and Dilek Hakkani-Tur</p>
<p>A HYBRID RULE/MODEL-BASED FINITE-STATE FRAMEWORK FOR NORMALIZING SMS MESSAGES<br />
Richard Beaufort, Sophie Roekhaut, Louise-Amélie Cougnon and Cédrick<br />
Fairon</p>
<p><strong>A JOINT RULE SELECTION MODEL FOR HIERARCHICAL PHRASE-BASED TRANSLATION（微软亚洲研究院&#038;哈工大）<br />
Lei Cui, Dongdong Zhang, Mu Li, Ming Zhou and Tiejun Zhao</strong></p>
<p>A LATENT DIRICHLET ALLOCATION METHOD FOR SELECTIONAL PREFERENCES<br />
Alan Ritter, Mausam Mausam and Oren Etzioni</p>
<p>A MODEL FOR COMPUTATIONAL DECIPHERMENT<br />
Benjamin Snyder, Regina Barzilay and Kevin Knight</p>
<p>A RATIONAL MODEL OF EYE MOVEMENT CONTROL IN READING<br />
Klinton Bicknell and Roger Levy</p>
<p>A RISK MINIMIZATION FRAMEWORK FOR EXTRACTIVE SPEECH SUMMARIZATION<br />
Shih-Hsiang Lin and Berlin Chen</p>
<p><strong>A SEMI-SUPERVISED KEY PHRASE EXTRACTION APPROACH: LEARNING FROM TITLE PHRASES THROUGH A DOCUMENT SEMANTIC NETWORK<br />
Decong Li, Sujian Li（北大）and Wenjie Li（香港理工大学）</strong></p>
<p>A STRUCTURED MODEL FOR JOINT LEARNING OF ARGUMENT ROLES AND PREDICATE SENSES<br />
Yotaro Watanabe, Masayuki Asahara and Yuji Matsumoto</p>
<p>A STUDY OF INFORMATION RETRIEVAL WEIGHTING SCHEMES FOR SENTIMENT ANALYSIS<br />
Georgios Paltoglou and Mike Thelwall</p>
<p>A TAXONOMY, DATASET, AND CLASSIFIER FOR AUTOMATIC NOUN COMPOUND INTERPRETATION<br />
Stephen Tratz and Eduard Hovy</p>
<p>A TRANSITION-BASED PARSER FOR 2-PLANAR DEPENDENCY STRUCTURES<br />
Carlos Gómez-Rodríguez and Joakim Nivre</p>
<p>A TREE TRANSDUCER MODEL FOR SYNCHRONOUS TREE-ADJOINING GRAMMARS Andreas Maletti</p>
<p><strong>A UNIFIED GRAPH MODEL FOR SENTENCE-BASED OPINION RETRIEVAL（东北大学？）<br />
Binyang Li, Lanjun Zhou, Shi Feng and Kam-Fai Wong</strong></p>
<p>ACCURATE CONTEXT-FREE PARSING WITH COMBINATORY CATEGORIAL GRAMMA<br />
Timothy A. D. Fowler and Gerald Penn</p>
<p>ACTIVE LEARNING-BASED ELICITATION FOR SEMI-SUPERVISED WORD ALIGNMENT<br />
Vamshi Ambati, Stephan Vogel and Jaime Carbonell</p>
<p>ALL WORDS DOMAIN ADAPTED WSD: FINDING A MIDDLE GROUND BETWEEN SUPERVISION AND UNSUPERVISION<br />
Mitesh Khapra, Anup Kulkarni, Saurabh Sohoney and Pushpak Bhattacharyya</p>
<p>ALL WORDS WORD SENSE DISAMBIGUATION: COMBINING ORTHOGONAL MONOLINGUAL AND MULTILINGUAL SOURCES OF EVIDENCE<br />
Weiwei Guo and Mona Diab</p>
<p>AN ACTIVE LEARNING APPROACH TO FINDING RELATED TERMS<br />
David Vickrey, Oscar Kipersztok and Daphne Koller</p>
<p>AN ENTITY-LEVEL APPROACH TO INFORMATION EXTRACTION<br />
Aria Haghighi and Dan Klein</p>
<p>AN EXACT A* METHOD FOR DECIPHERING LETTER-SUBSTITUTION CIPHERS<br />
Eric Corlett and Gerald Penn</p>
<p>AN MDL-INSPIRED OBJECTIVE FUNCTION FOR UNSUPERVISED TRAINING OF GENERATIVE MODELS<br />
Ashish Vaswani, Adam Pauls and David Chiang</p>
<p>ARABIC NAMED ENTITY RECOGNITION: USING FEATURES EXTRACTED FROM NOISY DATA<br />
Yassine Benajiba, Imed Zitouni, Mona Diab and Paolo Rosso</p>
<p>ASSESSING THE ROLE OF DISCOURSE REFERENCES IN ENTAILMENT INFERENCE<br />
Shachar Mirkin, Ido Dagan and Sebastian Padó</p>
<p>AUTHORSHIP ATTRIBUTION USING PROBABILISTIC CONTEXT-FREE GRAMMARS<br />
Sindhu Raghavan, Adriana Kovashka and Raymond Mooney</p>
<p>AUTOMATED PLANNING FOR SITUATED NATURAL LANGUAGE GENERATION<br />
Konstantina Garoufi and Alexander Koller</p>
<p><strong>AUTOMATIC COLLOCATION SUGGESTION IN ACADEMIC WRITING（台湾清华大学）<br />
Jian-Cheng Wu, Yu-Chia Chang and Jason S. Chang</strong></p>
<p>AUTOMATIC EVALUATION METHOD FOR MACHINE TRANSLATION USING NOUN-PHRASE CHUNKING<br />
Hiroshi Echizen-ya and Kenji Araki</p>
<p>AUTOMATIC EVALUATION OF LINGUISTIC QUALITY IN MULTI-DOCUMENT SUMMARIZATION<br />
Emily Pitler, Annie Louis and Ani Nenkova</p>
<p>AUTOMATIC GENERATION OF STORY HIGHLIGHTS<br />
Kristian Woodsend and Mirella Lapata</p>
<p>AUTOMATIC SOCIAL NETWORK EXTRACTION FOR LITERARY FICTION<br />
David Elson, Nicholas Dames and Kathleen McKeown</p>
<p>AUTOMATICALLY GENERATING ANNOTATOR RATIONALES TO IMPROVE SENTIMENT CLASSIFICATION<br />
Ainur Yessenalina, Yejin Choi and Claire Cardie</p>
<p>AUTOMATICALLY GENERATING TERM FREQUENCY INDUCED TAXONOMIES<br />
Karin Murthy, Tanveer Faruquie, L V Subramaniam, Hima Karanam and<br />
Mukesh Mohania</p>
<p>BABELNET: A VERY LARGE MULTILINGUAL SEMANTIC NETWORK<br />
Roberto Navigli and Simone Paolo Ponzetto</p>
<p>BALANCING USER EFFORT AND TRANSLATION ERROR IN INTERACTIVE MACHINE TRANSLATION VIA CONFIDENCE MEASURES<br />
Jesús González Rubio, Daniel Ortiz Martínez and Francisco<br />
Casacuberta</p>
<p><strong>BETTER FILTRATION AND AUGMENTATION FOR HIERARCHICAL PHRASE-BASED TRANSLATION RULES（中科院计算所）<br />
Zhiyang Wang, Yajuan Lv and Qun Liu</strong></p>
<p>BEYOND NOMBANK: A STUDY OF IMPLICIT ARGUMENTATION FOR NOMINAL PREDICATES<br />
Matthew Gerber and Joyce Chai</p>
<p>BILINGUAL LEXICON GENERATION USING NON-ALIGNED SIGNATURES<br />
Daphna Shezaf and Ari Rappoport</p>
<p>BILINGUAL SENSE SIMILARITY FOR STATISTICAL MACHINE TRANSLATION<br />
Boxing Chen, George Foster and Roland Kuhn</p>
<p>BITEXT DEPENDENCY PARSING WITH BILINGUAL SUBTREE CONSTRAINTS<br />
Wenliang Chen, Jun&#8217;ichi Kazama and Kentaro Torisawa</p>
<p>BLOCKED INFERENCE IN BAYESIAN TREE SUBSTITUTION GRAMMARS<br />
Trevor Cohn and Phil Blunsom</p>
<p><strong>BOOSTING-BASED SYSTEM COMBINATION FOR MACHINE TRANSLATION（东北大学）<br />
Tong Xiao, Jingbo Zhu, Muhua Zhu and Huizhen Wang</strong></p>
<p>BOOTSTRAPPING SEMANTIC ANALYZERS FROM NON-CONTRADICTORY TEXTS<br />
Ivan Titov and Mikhail Kozhevnikov</p>
<p>BRIDGING SMT AND TM WITH TRANSLATION RECOMMENDATION<br />
Yifan He, Yanjun Ma, Josef van Genabith and Andy Way</p>
<p>BUCKING THE TREND: LARGE-SCALE COST-FOCUSED ACTIVE LEARNING FOR STATISTICAL MACHINE TRANSLATION<br />
Michael Bloodgood and Chris Callison-Burch</p>
<p>CLASSIFICATION OF FEEDBACK EXPRESSIONS IN MULTIMODAL DATA<br />
Costanza Navarretta and Patrizia Paggio</p>
<p>COGNITIVELY PLAUSIBLE MODELS OF HUMAN LANGUAGE PROCESSING<br />
Frank Keller</p>
<p>COLLOCATION EXTRACTION BEYOND THE INDEPENDENCE ASSUMPTION<br />
Gerlof Bouma</p>
<p>COMBINING DATA AND MATHEMATICAL MODELS OF LANGUAGE CHANGE<br />
Morgan Sonderegger and Partha Niyogi</p>
<p>COMPARABLE ENTITY MINING FROM COMPARATIVE QUESTIONS<br />
Shasha Li, Chin-Yew Lin, Young-In Song and Zhoujun Li</p>
<p>COMPLEXITY ASSUMPTIONS IN ONTOLOGY VERBALISATION<br />
Richard Power</p>
<p>COMPLEXITY METRICS IN AN INCREMENTAL RIGHT-CORNER PARSER<br />
Stephen Wu, Asaf Bachrach, Carlos Cardenas and William Schuler</p>
<p>COMPOSITIONAL MATRIX-SPACE MODELS OF LANGUAGE<br />
Sebastian Rudolph and Eugenie Giesbrecht</p>
<p>COMPUTING WEAKEST READINGS<br />
Alexander Koller and Stefan Thater</p>
<p>CONDITIONAL RANDOM FIELDS FOR WORD HYPHENATION<br />
Nikolaos Trogkanis and Charles Elkan</p>
<p><strong>CONSTITUENT-TO-DEPENDENCY TRANSLATION WITH FORESTS<br />
Haitao Mi and Qun Liu（中科院计算所）</strong></p>
<p>CONTEXTUALIZING SEMANTIC REPRESENTATIONS USING SYNTACTICALLY ENRICHED VECTOR MODELS<br />
Stefan Thater, Hagen Fürstenau and Manfred Pinkal</p>
<p>CONVOLUTION KERNEL OVER PACKED PARSE FOREST<br />
min zhang, hui zhang and haizhou li</p>
<p>COREFERENCE RESOLUTION ACROSS CORPORA: LANGUAGES, CODING SCHEMES, AND PREPROCESSING INFORMATION<br />
Marta Recasens and Eduard Hovy</p>
<p>CORRECTING ERRORS IN A TREEBANK BASED ON SYNCHRONOUS TREE SUBSTITUTION GRAMMAR<br />
Yoshihide Kato and Shigeki Matsubara</p>
<p>CORRECTING ERRORS IN SPEECH RECOGNITION WITH ARTICULATORY DYNAMICS<br />
Frank Rudzicz</p>
<p>CREATING ROBUST SUPERVISED CLASSIFIERS VIA WEB-SCALE N-GRAM DATA<br />
Shane Bergsma, Emily Pitler and Dekang Lin</p>
<p>CROSS LINGUAL ADAPTATION: AN EXPERIMENT ON SENTIMENT CLASSIFICATIONS<br />
bin wei and chris pal<br />
<strong><br />
CROSS-LANGUAGE DOCUMENT SUMMARIZATION BASED ON MACHINE TRANSLATION QUALITY PREDICTION<br />
Xiaojun Wan（北大）</strong></p>
<p>CROSS-LANGUAGE TEXT CLASSIFICATION USING STRUCTURAL CORRESPONDENCE LEARNING<br />
Peter Prettenhofer and Benno Stein</p>
<p>CROSS-LINGUAL LATENT TOPIC EXTRACTION<br />
Duo Zhang, Qiaozhu Mei and ChengXiang Zhai</p>
<p>DATA SPARSENESS IN MACHINE TRANSLATION EVALUATION<br />
Ondřej Bojar, Kamil Kos and David Mareček</p>
<p>DECISION DETECTION USING HIERARCHICAL GRAPHICAL MODELS<br />
Trung H. Bui and Stanley Peters</p>
<p><strong>DEPENDENCY PARSING AND PROJECTION BASED ON WORD-PAIR CLASSIFICATION<br />
Wenbin Jiang and Qun Liu（计算所）</strong></p>
<p>DETECTING ERRORS IN AUTOMATICALLY-PARSED DEPENDENCY RELATIONS<br />
Markus Dickinson</p>
<p>DETECTING EXPERIENCES FROM WEBLOGS<br />
Keun Chan Park, Yoonjae Jeong and Sung Hyon Myaeng</p>
<p>DISCRIMINATIVE MODELING OF EXTRACTION SETS FOR MACHINE TRANSLATION<br />
John DeNero and Dan Klein</p>
<p><strong>DISCRIMINATIVE PRUNING FOR DISCRIMINATIVE ITG ALIGNMENT<br />
Shujie Liu and Chi-Ho Li（微软亚洲研究院）</strong></p>
<p>DISTRIBUTIONAL SIMILARITY VS. PU LEARNING FOR ENTITY SET EXPANSION<br />
Xiao-Li Li, Lei Zhang, Bing Liu and See-Kiong Ng</p>
<p>DIVERSIFY AND COMBINE: IMPROVING WORD ALIGNMENT FOR MACHINE TRANSLATION ON LOW-RESOURCE LANGUAGES<br />
Bing Xiang, Yonggang Deng and Bowen Zhou</p>
<p>DOMAIN ADAPTATION OF MAXIMUM ENTROPY LANGUAGE MODELS<br />
Tanel Alumäe and Mikko Kurimo</p>
<p>DON&#8217;T `HAVE A CLUE&#8217;? UNSUPERVISED CO-LEARNING OF DOWNWARD-ENTAILING OPERATORS.<br />
Cristian Danescu-Niculescu-Mizil and Lillian Lee</p>
<p>DYNAMIC PROGRAMMING FOR LINEAR-TIME SHIFT-REDUCE PARSING<br />
Liang Huang and Kenji Sagae</p>
<p>EFFICIENT INFERENCE THROUGH CASCADES OF WEIGHTED TREE TRANSDUCERS<br />
Jonathan May, Kevin Knight and Heiko Vogler</p>
<p>EFFICIENT PATH COUNTING TRANSDUCERS FOR MINIMUM BAYES-RISK DECODING OF STATISTICAL MACHINE TRANSLATION LATTICES<br />
Graeme Blackwood and William Byrne</p>
<p>EFFICIENT STAGGERED DECODING FOR SEQUENCE LABELING<br />
Nobuhiro Kaji, Yasuhiro Fujiwara, Naoki Yoshinaga and Masaru<br />
Kitsuregawa</p>
<p>EFFICIENT THIRD-ORDER DEPENDENCY PARSERS<br />
Terry Koo and Michael Collins</p>
<p><strong>EMPLOYING PERSONAL/IMPERSONAL VIEWS IN SUPERVISED AND SEMI-SUPERVISED SENTIMENT CLASSIFICATION<br />
Shoushan Li, Chu-Ren Huang, Guodong Zhou and Sophia Y. M. Lee<br />
</strong></p>
<p>ENHANCED WORD DECOMPOSITION BY CALIBRATING THE DECISION THRESHOLD OF COMBINED PROBABILISTIC MODELS<br />
Sebastian Spiegler and Peter Flach</p>
<p>ENTITY-BASED LOCAL COHERENCE MODELLING USING TOPOLOGICAL FIELDS<br />
Jackie Chi Kit Cheung and Gerald Penn</p>
<p>ERROR DETECTION FOR STATISTICAL MACHINE TRANSLATION USING LINGUISTIC FEATURES<br />
Deyi Xiong, Min Zhang and Haizhou Li</p>
<p>ESTIMATING STRICTLY PIECEWISE DISTRIBUTIONS<br />
Jeffrey Heinz and James Rogers</p>
<p>EVALUATING MACHINE TRANSLATIONS USING MNCD<br />
Marcus Dobrinkat, Tero Tapiovaara, Jaakko Väyrynen and Kimmo Kettunen</p>
<p>EVALUATING MULTILANGUAGE-COMPARABILITY OF SUBJECTIVITY ANALYSIS SYSTEMS<br />
Jungi Kim, Jin-ji Li and Jong-Hyeok Lee</p>
<p>EVENT-BASED HYPERSPACE ANALOGUE TO LANGUAGE FOR QUERY EXPANSION<br />
Tingxu Yan, Tamsin Maxwell, Dawei Song, Yuexian Hou and Peng Zhang</p>
<p>EXEMPLAR-BASED MODELS FOR WORD MEANING IN CONTEXT<br />
Katrin Erk and Sebastian Pado</p>
<p>EXPERIMENTS IN GRAPH-BASED SEMI-SUPERVISED LEARNING METHODS FOR CLASS-INSTANCE ACQUISITION<br />
Partha Pratim Talukdar and Fernando Pereira</p>
<p>EXPLORATIONS IN SUBJECT-VERB REORDERING FOR ARABIC-ENGLISH STATISTICAL MACHINE TRANSLATION<br />
Marine Carpuat, Yuval Marton, Nizar Habash and Owen Rambow</p>
<p>EXPLORING SYNTACTIC STRUCTURAL FEATURES FOR SUBTREE ALIGNMENT USING BILINGUAL TREE KERNELS<br />
Jun Sun, Min Zhang and Chew Lim Tan</p>
<p>EXTRACTING SEQUENCES FROM THE WEB<br />
Anthony Fader, Stephen Soderland and Oren Etzioni</p>
<p>EXTRACTION AND APPROXIMATION OF NUMERICAL ATTRIBUTES FROM THE WEB<br />
Dmitry Davidov and Ari Rappoport</p>
<p>FASTER PARSING BY SUPERTAGGER ADAPTATION<br />
Jonathan K. Kummerfeld, Jessika Roesner, Tim Dawborn, James Haggerty,<br />
James R. Curran and Stephen Clark</p>
<p>FILTERING SYNTACTIC CONSTRAINTS FOR SMT<br />
Hailong Cao and Eiichiro Sumita</p>
<p>FINDING COGNATE GROUPS USING PHYLOGENIES<br />
David Hall and Dan Klein</p>
<p>FINE-GRAINED GENRE CLASSIFICATION USING STRUCTURAL LEARNING ALGORITHMS<br />
Zhili Wu, Katja Markert and Serge Sharoff</p>
<p>FINE-GRAINED TREE-TO-STRING TRANSLATION RULE EXTRACTION<br />
Xianchao Wu, Takuya Matsuzaki and Jun&#8217;ichi Tsujii</p>
<p>FIXED LENGTH WORD SUFFIX FOR FACTORED STATISTICAL MACHINE TRANSLATION<br />
Narjes Sharif Razavian and Stephan Vogel</p>
<p>FROM GAZE DURATION AND EYE MOVEMENTS TO ANNOTATION COMPLEXITY &#8212; HOW EYE-TRACKING PROVIDES INSIGHTS INTO ANNOTATION COSTS<br />
Tomanek Katrin, Udo Hahn, Steffen Lohmann and Jürgen Ziegler</p>
<p>FULLY UNSUPERVISED CORE-ADJUNCT ARGUMENT CLASSIFICATION<br />
Omri Abend and Ari Rappoport</p>
<p>FUZZY TREE-TO-TREE TRANSLATION<br />
David Chiang</p>
<p>GENERATING ENTAILMENT RULES FROM FRAMENET<br />
Roni Ben Aharon, Idan Szpektor and Ido Dagan</p>
<p>GENERATING FINE-GRAINED REVIEWS OF SONGS FROM ALBUM REVIEWS<br />
Swati Tata and Barbara Di Eugenio</p>
<p>GENERATING FOCUSED TOPIC-SPECIFIC FOCUSED SENTIMENT LEXICONS<br />
Valentin Jijkoun, Maarten de Rijke and Wouter Weerkamp</p>
<p>GENERATING IMAGE DESCRIPTIONS USING DEPENDENCY RELATIONAL PATTERNS<br />
Ahmet Aker and Robert Gaizauskas</p>
<p><strong>GENERATING TEMPLATES OF ENTITY SUMMARIES WITH AN ENTITY-ASPECT MODEL AND PATTERN MINING ？<br />
Peng Li, Jing Jiang and Yinglin Wang</strong></p>
<p>GLOBAL LEARNING OF FOCUSED ENTAILMENT GRAPHS<br />
Jonathan Berant, Ido Dagan and Jacob Goldberger</p>
<p>HARD CONSTRAINTS FOR GRAMMATICAL FUNCTION LABELLING<br />
Wolfgang Seeker, Ines Rehbein, Jonas Kuhn and Josef Van Genabith</p>
<p>HIERARCHICAL A* PARSING WITH BRIDGE OUTSIDE SCORES<br />
Adam Pauls and Dan Klein</p>
<p>HIERARCHICAL JOINT LEARNING: IMPROVING JOINT PARSING AND NAMED ENTITY RECOGNITION WITH NON-JOINTLY LABELED DATA<br />
Jenny Rose Finkel, Richard Socher and Christopher D. Manning</p>
<p>HIERARCHICAL SEARCH FOR WORD ALIGNMENT<br />
Jason Riesa and Daniel Marcu</p>
<p>HIERARCHICAL SEQUENTIAL LEARNING FOR EXTRACTING OPINIONS AND THEIR ATTRIBUTES<br />
Yejin Choi and Claire Cardie</p>
<p>HINDI-TO-URDU MACHINE TRANSLATION THROUGH TRANSLITERATION<br />
Nadir Durrani, Hassan Sajjad, Alexander Fraser and Helmut Schmid</p>
<p>HOW MANY WORDS IS A PICTURE WORTH? AUTOMATIC CAPTION GENERATION FOR NEWS IMAGES<br />
Yansong Feng and Mirella Lapata</p>
<p>IDENTIFYING GENERIC NOUN PHRASES<br />
Nils Reiter and Anette Frank</p>
<p>IDENTIFYING NON-EXPLICIT CITING SENTENCES FOR CITATION-BASED<br />
SUMMARIZATION.<br />
Vahed Qazvinian and Dragomir R. Radev</p>
<p>IDENTIFYING TEXT POLARITY USING RANDOM WALKS<br />
Ahmed Hassan and Dragomir Radev</p>
<p>IMPORTANCE-DRIVEN TURN-BIDDING FOR SPOKEN DIALOGUE SYSTEMS<br />
Ethan Selfridge and Peter Heeman</p>
<p>IMPROVED UNSUPERVISED POS INDUCTION THROUGH PROTOTYPE DISCOVERY<br />
Omri Abend, Roi Reichart and Ari Rappoport</p>
<p>IMPROVING CHINESE SEMANTIC ROLE LABELING WITH RICH SYNTACTIC FEATURES<br />
Weiwei Sun</p>
<p>IMPROVING MULTILINGUAL SUMMARIZATION USING A GENETIC ALGORITHM<br />
Marina Litvak, Mark Last and Menahem Friedman</p>
<p><strong>IMPROVING STATISTICAL MACHINE TRANSLATION WITH MONOLINGUAL COLLOCATION（哈工大）<br />
Zhanyi Liu, Haifeng Wang, Hua Wu and Sheng Li</strong></p>
<p>IMPROVING THE USE OF PSEUDO-WORDS FOR EVALUATING SELECTIONAL PREFERENCES<br />
Nathanael Chambers and Dan Jurafsky</p>
<p>INCORPORATING EXTRA-LINGUISTIC INFORMATION INTO REFERENCE RESOLUTION IN COLLABORATIVE TASK DIALOGUE<br />
Ryu Iida, Syunpei Kobayashi and Takenobu Tokunaga</p>
<p>INDUCING DOMAIN-SPECIFIC SEMANTIC CLASS TAGGERS FROM (ALMOST) NOTHING<br />
Ruihong Huang and Ellen Riloff</p>
<p>INDUCTION OF TREE-TO-TREE STSG VIA BAYESIAN INFERENCE AND ITS<br />
APPLICATION TO SENTENCE COMPRESSION<br />
Elif Yamangil</p>
<p>INTELLIGENT SELECTION OF LANGUAGE MODEL TRAINING DATA<br />
Robert C. Moore and Will Lewis</p>
<p>ITERATED SVD-AND-CLUSTERING FOR UNSUPERVISED POS TAGGING<br />
Michael Lamar, Yariv Maron, Mark Johnson and Elie Bienenstock</p>
<p><strong>JOINT SYNTACTIC AND SEMANTIC PARSING OF CHINESE（苏州大学）<br />
Junhui Li, Guodong Zhou and Hwee Tou Ng</strong></p>
<p>JOINTLY OPTIMIZING A TWO-STEP CONDITIONAL RANDOM FIELD MODEL FOR MACHINE TRANSLITERATION AND ITS FAST DECODING ALGORITHM<br />
Dong Yang, Paul Dixon and Sadaoki Furui</p>
<p>KERNEL BASED DISCOURSE ANALYSIS WITH TEMPORAL ORDERING INFORMATION<br />
WenTing WANG, Jian SU and ChewLim TAN</p>
<p>KNOWLEDGE-RICH WORD SENSE DISAMBIGUATION RIVALING SUPERVISED SYSTEMS<br />
Simone Paolo Ponzetto and Roberto Navigli</p>
<p>LAST BUT DEFINITELY NOT LEAST: ON THE ROLE OF THE LAST SENTENCE IN AUTOMATIC SENTIMENT-EXTRACTION<br />
Israela Becker and Vered Aharonson</p>
<p>LATENT VARIABLE MODELS OF SELECTIONAL PREFERENCE<br />
Diarmuid Ó Séaghdha</p>
<p>LEARNING 5000 RELATIONAL EXTRACTORS<br />
Raphael Hoffmann, Congle Zhang and Daniel S. Weld</p>
<p>LEARNING ARGUMENTS AND SUPERTYPES OF SEMANTIC RELATIONS USING RECURSIVE PATTERNS<br />
Zornitsa Kozareva and Eduard Hovy</p>
<p>LEARNING BETTER DATA REPRESENTATION USING INFERENCE-DRIVEN METRIC LEARNING<br />
Paramveer S. Dhillon, Partha Pratim Talukdar and Koby Crammer</p>
<p>LEARNING COMMON GRAMMAR FROM MULTILINGUAL CORPUS<br />
Tomoharu Iwata, Daichi Mochihashi and Hiroshi Sawada</p>
<p><strong>LEARNING LEXICALIZED REORDERING MODELS FROM REORDERING GRAPHS<br />
Jinsong Su, Yang Liu, Yajuan Lv and Qun Liu（中科院计算所）</strong></p>
<p>LEARNING PHRASE-BASED SPELLING ERROR MODELS FROM CLICKTHROUGH DATA<br />
Xu Sun, Jianfeng Gao, Daniel Micol and Chris Quirk</p>
<p>LEARNING SCRIPT KNOWLEDGE WITH WEB EXPERIMENTS<br />
Michaela Regneri, Alexander Koller and Manfred Pinkal</p>
<p>LEARNING TO ADAPT TO UNKNOWN USERS: REFERRING EXPRESSION GENERATION IN SPOKEN DIALOGUE SYSTEMS<br />
Srinivasan Janarthanam and Oliver Lemon</p>
<p>LEARNING TO FOLLOW NAVIGATIONAL DIRECTIONS<br />
Adam Vogel and Dan Jurafsky</p>
<p>LEARNING WORD-CLASS LATTICES FOR DEFINITION AND HYPERNYM EXTRACTION<br />
Roberto Navigli and Paola Velardi</p>
<p>LETTER-PHONEME ALIGNMENT: AN EXPLORATION<br />
Sittichai Jiampojamarn and Grzegorz Kondrak</p>
<p>METADATA-AWARE MEASURES FOR ANSWER SUMMARIZATION IN COMMUNITY QUESTION ANSWERING<br />
Mattia Tomasoni and Minlie Huang</p>
<p>MINIMIZED MODELS AND GRAMMAR-INFORMED INITIALIZATION FOR SUPERTAGGING WITH HIGHLY AMBIGUOUS LEXICONS<br />
Sujith Ravi, Jason Baldridge and Kevin Knight</p>
<p>MODELING NORMS OF TURN-TAKING IN MULTI-PARTY CONVERSATION<br />
Kornel Laskowski</p>
<p><strong>MODELING SEMANTIC RELEVANCE FOR QUESTION-ANSWER PAIRS IN WEB SOCIAL COMMUNITIES（哈工大）<br />
Baoxun Wang, Xiaolong Wang, Bingquan Liu, Chengjie Sun and Lin Sun</strong></p>
<p>MODELS OF METAPHOR IN NLP<br />
Ekaterina Shutova</p>
<p>MULTILINGUAL RELEVANCE FEEDBACK: ONE LANGUAGE CAN HELP ANOTHER<br />
Manoj Kumar Chinnakotla, Karthik Raman and Pushpak Bhattacharyya</p>
<p>NEWS RECOMMENDATION IN FORUM-BASED SOCIAL MEDIA<br />
Jia Wang, Qing Li, Yuanzhu Peter Chen and Zhangxi Lin</p>
<p>NOW, WHERE WAS I? RESUMPTION STRATEGIES FOR AN IN-VEHICLE DIALOGUE SYSTEM<br />
Jessica Villing</p>
<p><strong>ON JOINTLY RECOGNIZING AND ALIGNING BILINGUAL NAMED ENTITIES（中科院自动化所）<br />
Yufeng Chen, Chengqing Zong and Keh-Yih Su</strong></p>
<p>ON LEARNING SUBTYPES OF THE PART-WHOLE RELATION: DO NOT MIX YOUR SEEDS ASHWIN ITTOO and GOSSE BOUMA</p>
<p>ON THE COMPUTATIONAL COMPLEXITY OF DOMINANCE LINKS IN GRAMMATICAL FORMALISMS<br />
Sylvain Schmitz</p>
<p>ONLINE GENERATION OF LOCALITY SENSITIVE HASH SIGNATURES<br />
Benjamin Van Durme and Ashwin Lall</p>
<p>OPEN INFORMATION EXTRACTION USING WIKIPEDIA<br />
Fei Wu and Daniel S. Weld</p>
<p>OPEN-DOMAIN SEMANTIC ROLE LABELING BY LEARNING MODELS OF WORD SPANS<br />
Fei Huang and Alexander Yates</p>
<p>OPTIMAL RANK REDUCTION OF LCFRSS WITH FAN-OUT 2<br />
Benoît Sagot and Giorgio Satta</p>
<p>OPTIMISING INFORMATION PRESENTATION FOR SPOKEN DIALOGUE SYSTEMS<br />
Verena Rieser, Oliver Lemon and Xingkun Liu</p>
<p>OPTIMIZING INFORMATIVENESS AND READABILITY FOR SENTIMENT SUMMARIZATION<br />
Hitoshi Nishikawa, Takaaki Hasegawa, Yoshihiro Matsuo and Genichiro<br />
Kikui</p>
<p>OPTIMIZING QUESTION ANSWERING ACCURACY BY MAXIMIZING LOG-LIKELIHOOD<br />
Matthias H. Heie, Edward W. D. Whittaker and Sadaoki Furui</p>
<p>PARAPHRASE LATTICE FOR STATISTICAL MACHINE TRANSLATION<br />
Takashi Onishi, Masao Utiyama and Eiichiro Sumita</p>
<p>PCFGS, TOPIC MODELS, ADAPTOR GRAMMARS AND LEARNING TOPICAL COLLOCATIONS AND THE STRUCTURE OF PROPER NAMES<br />
Mark Johnson</p>
<p>PHRASE-BASED STATISTICAL LANGUAGE GENERATION USING GRAPHICAL MODELS AND ACTIVE LEARNING<br />
Francois Mairesse, Milica Gasic, Filip Jurcicek, Simon Keizer, Jorge<br />
Prombonas, Blaise Thomson, Kai Yu and Steve Young</p>
<p>PHYLOGENETIC GRAMMAR INDUCTION<br />
Taylor Berg-Kirkpatrick and Dan Klein</p>
<p>PLOT INDUCTION AND EVOLUTIONARY SEARCH FOR STORY GENERATION<br />
Neil McIntyre and Mirella Lapata</p>
<p>PRACTICAL VERY LARGE SCALE CRFS<br />
Thomas Lavergne, Olivier Cappé and François Yvon</p>
<p>PREDICATE ARGUMENT STRUCTURE ANALYSIS USING TRANSFORMATION BASED LEARNING<br />
Hirotoshi Taira, Sanae Fujita and Masaaki Nagata</p>
<p>PREFERENCES VERSUS ADAPTATION DURING REFERRING EXPRESSION GENERATION<br />
Martijn Goudbeek and Emiel Krahmer</p>
<p>PROFITING FROM MARK-UP: HYPER-TEXT ANNOTATIONS FOR GUIDED PARSING<br />
Valentin Spitkovsky and Daniel Jurafsky</p>
<p>PSEUDO-WORD FOR PHRASE-BASED MACHINE TRANSLATION<br />
Xiangyu Duan, Min Zhang and Haizhou Li</p>
<p>READING BETWEEN THE LINES: LEARNING TO MAP HIGH-LEVEL INSTRUCTIONS TO COMMANDS<br />
S.R.K. Branavan, Luke Zettlemoyer and Regina Barzilay</p>
<p>REBANKING: GRAMMAR ENGINEERING FOR A STATISTICAL PARSER<br />
Matthew Honnibal, James R. Curran and Johan Bos</p>
<p>RECONCILE: A COREFERENCE RESOLUTION RESEARCH PLATFORM<br />
Veselin Stoyanov, Claire Cardie, Nathan Gilbert, Ellen Riloff, David<br />
Buttler and David Hysom</p>
<p>SEMANTICS-DRIVEN SHALLOW PARSING FOR CHINESE SEMANTIC ROLE LABELING<br />
Weiwei Sun</p>
<p>SENTENCE AND EXPRESSION LEVEL ANNOTATION OF OPINIONS IN USER-GENERATED DISCOURSE<br />
Cigdem Toprak, Niklas Jakob and Iryna Gurevych</p>
<p>SENTIMENT LEARNING ON PRODUCT REVIEWS VIA SENTIMENT ONTOLOGY TREE<br />
Wei Wei and Jon Atle Gulla</p>
<p>SIMPLE SEMI-SUPERVISED TRAINING OF PART-OF-SPEECH TAGGERS<br />
Anders Søgaard</p>
<p>SIMPLE, ACCURATE PARSING WITH AN ALL-FRAGMENTS GRAMMAR<br />
Mohit Bansal and Dan Klein</p>
<p>SIMULTANEOUS TOKENIZATION AND PART-OF-SPEECH TAGGING FOR ARABIC WITHOUT A MORPHOLOGICAL ANALYZER<br />
Seth Kulick</p>
<p>SPARSITY IN DEPENDENCY GRAMMAR INDUCTION<br />
Jennifer Gillenwater, Kuzman Ganchev, João Graça, Ben Taskar and<br />
Fernando Pereira</p>
<p>STARTING FROM SCRATCH IN SEMANTIC ROLE LABELING<br />
Michael Connor, Cynthia Fisher and Dan Roth</p>
<p>STRING EXTENSION LEARNING<br />
Jeffrey Heinz<br />
<strong><br />
STRUCTURAL SEMANTIC RELATEDNESS: A KNOWLEDGE-BASED METHOD TO NAMED ENTITY DISAMBIGUATION（中科院自动化所）<br />
Xianpei Han and Jun Zhao</strong></p>
<p>SUPERVISED NOUN PHRASE COREFERENCE RESEARCH: THE FIRST FIFTEEN YEARS<br />
Vincent Ng</p>
<p>SYNTACTIC AND SEMANTIC FACTORS IN PROCESSING DIFFICULTY: AN INTEGRATED MEASURE<br />
Jeff Mitchell, Mirella Lapata, Vera Demberg and Frank Keller</p>
<p>SYNTAX-TO-MORPHOLOGY MAPPING IN FACTORED PHRASE-BASED STATISTICAL MACHINE TRANSLATION FROM ENGLISH TO TURKISH<br />
Reyyan Yeniterzi and Kemal Oflazer</p>
<p>SYSTEMX: AN ALGEBRAIC APPROACH TO DECLARATIVE INFORMATION EXTRACTION<br />
Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan,<br />
Frederick Reiss and Shivakumar Vaithyanathan</p>
<p>TEMPORAL INFORMATION PROCESSING OF A NEW LANGUAGE: FAST PORTING WITH MINIMAL RESOURCES<br />
Francisco Costa and António Branco</p>
<p>THE IMPACT OF INTERPRETATION PROBLEMS ON TUTORIAL DIALOGUE<br />
Myroslava Dzikovska, Johanna Moore, Natalie Steinhauser and Gwendolyn Campbell</p>
<p>THE IMPORTANCE OF RULE RESTRICTIONS IN CCG<br />
Marco Kuhlmann, Alexander Koller and Giorgio Satta</p>
<p>THE INFLUENCE OF DISCOURSE ON SYNTAX: A PSYCHOLINGUISTIC MODEL OF SENTENCE PROCESSING<br />
Amit Dubey</p>
<p>THE MANUALLY ANNOTATED SUB-CORPUS: A COMMUNITY RESOURCE FOR AND BY THE PEOPLE<br />
Nancy Ide, Collin Baker, Christiane Fellbaum and Rebecca Passonneau</p>
<p>THE PREVALENCE OF DESCRIPTIVE REFERRING EXPRESSIONS IN NEWS AND NARRATIVE<br />
Raquel Hervas and Mark Finlayson</p>
<p>THE SAME-HEAD HEURISTIC FOR COREFERENCE<br />
Micha Elsner and Eugene Charniak</p>
<p>TOP-DOWN K-BEST A* PARSING<br />
Adam Pauls, Dan Klein and Chris Quirk</p>
<p>TOPIC MODELS FOR WORD SENSE DISAMBIGUATION AND TOKEN-BASED IDIOM DETECTION<br />
Linlin Li, Benjamin Roth and Caroline Sporleder</p>
<p>TOWARDS OPEN-DOMAIN SEMANTIC ROLE LABELING<br />
Danilo Croce, Cristina Giannone, Paolo Annesi and Roberto Basili</p>
<p>TOWARDS ROBUST MULTI-TOOL TAGGING. AN OWL/DL-BASED APPROACH<br />
Christian Chiarcos</p>
<p>TRAINING PHRASE TRANSLATION MODELS WITH LEAVING-ONE-OUT<br />
Joern Wuebker, Arne Mauser and Hermann Ney</p>
<p>TREE-BASED DETERMINISTIC DEPENDENCY PARSING — AN APPLICATION TO NIVRE&#8217;S METHOD —<br />
Kotaro Kitagawa and Kumiko Tanaka-Ishii</p>
<p>TRUSTRANK: INDUCING TRUST IN AUTOMATIC TRANSLATIONS VIA RANKING Radu Soricut and Abdessamad Echihabi</p>
<p>UNDERSTANDING THE SEMANTIC STRUCTURE OF NOUN PHRASE QUERIES<br />
Xiao Li</p>
<p>UNSUPERVISED DISCOURSE SEGMENTATION OF DOCUMENTS WITH INHERENTLY PARALLEL STRUCTURE<br />
Minwoo Jeong and Ivan Titov</p>
<p>UNSUPERVISED EVENT COREFERENCE RESOLUTION WITH RICH LINGUISTIC FEATURES<br />
Cosmin Bejan and Sanda Harabagiu</p>
<p>UNSUPERVISED ONTOLOGY INDUCTION FROM TEXT<br />
Hoifung Poon and Pedro Domingos</p>
<p>UNTANGLING THE CROSS-LINGUAL LINK STRUCTURE OF WIKIPEDIA<br />
Gerard de Melo and Gerhard Weikum</p>
<p>USING ANAPHORA RESOLUTION TO IMPROVE OPINION TARGET IDENTIFICATION IN MOVIE REVIEWS<br />
Niklas Jakob and Iryna Gurevych</p>
<p>USING DOCUMENT LEVEL CROSS-EVENT INFERENCE TO IMPROVE EVENT EXTRACTION<br />
Shasha Liao and Ralph Grishman</p>
<p>USING PARSE FEATURES FOR PREPOSITION SELECTION AND ERROR DETECTION<br />
Joel Tetreault, Jennifer Foster and Martin Chodorow</p>
<p>USING SMALLER CONSTITUENTS RATHER THAN SENTENCES IN ACTIVE LEARNING FOR JAPANESE DEPENDENCY PARSING<br />
Manabu Sassano and Sadao Kurohashi</p>
<p>USING SPEECH TO REPLY TO SMS MESSAGES WHILE DRIVING: AN IN-CAR USER STUDY<br />
Yun-Cheng Ju and Tim Paek</p>
<p>VITERBI TRAINING FOR PCFGS: HARDNESS RESULTS AND COMPETITIVENESS OF UNIFORM INITIALIZATION<br />
Shay Cohen and Noah A Smith</p>
<p>VOCABULARY CHOICE AS AN INDICATOR OF PERSPECTIVE<br />
Beata Beigman Klebanov, Eyal Beigman and Daniel Diermeier</p>
<p>WIKIPEDIA AS SENSE INVENTORY TO IMPROVE DIVERSITY IN WEB SEARCH RESULTS<br />
Celina Santamaría, Julio Gonzalo and Javier Artiles</p>
<p>WORD ALIGNMENT WITH SYNONYM REGULARIZATION<br />
Hiroyuki Shindo, Akinori Fujino and Masaaki Nagata</p>
<p>WORD REPRESENTATIONS: A SIMPLE AND GENERAL METHOD FOR SEMI-SUPERVISED LEARNING<br />
Joseph Turian, Lev-Arie Ratinov and Yoshua Bengio</p>
<p>WRAPPING UP A SUMMARY: FROM REPRESENTATION TO GENERATION<br />
Mijail Kabadjov, Josef Steinberger, Marco Turchi and Ralf Steinberger</p>
<p>“ASK NOT WHAT TEXTUAL ENTAILMENT CAN DO FOR YOU&#8230;”<br />
Dan Roth, Mark Sammons and V.G.Vinod Vydiswaran</p>
<p>“WAS IT GOOD? IT WAS PROVOCATIVE.” LEARNING THE MEANING OF SCALAR ADJECTIVES<br />
Marie-Catherine de Marneffe, Christopher Potts and Christopher D.<br />
Manning</p>
<p>注：转载请注明出处“<a href="http://www.52nlp.cn">我爱自然语言处理</a>”：<a href="http://www.52nlp.cn">www.52nlp.cn</a></p>
<p>本文链接地址：<a href="http://www.52nlp.cn/acl-2010-list-of-accepted-papers">http://www.52nlp.cn/acl-2010-list-of-accepted-papers</a></p>
<p>
<!-- Begin Google Adsense code -->
<script type="text/javascript"><!--
google_ad_client = "pub-4332174469367599";
/* 336x280, 创建于 09-2-7 */
google_ad_slot = "5707022987";
google_ad_width = 336;
google_ad_height = 280;
//-->
</script>
<script type="text/javascript"
src="http://pagead2.googlesyndication.com/pagead/show_ads.js">
</script>
<!-- End Google Adsense code -->
</p>


<p>相关文章:<ol><li><a href='http://www.52nlp.cn/acl-2010-paper-%e5%9b%bd%e5%86%85%e7%a0%94%e7%a9%b6%e5%8d%95%e4%bd%8d%e5%bd%95%e7%94%a8%e6%83%85%e5%86%b5' rel='bookmark' title='Permanent Link: ACL 2010 Paper国内研究单位录用情况'>ACL 2010 Paper国内研究单位录用情况</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-list-of-accepted-papers-oral' rel='bookmark' title='Permanent Link: COLING 2010: List of Accepted Papers (Oral)'>COLING 2010: List of Accepted Papers (Oral)</a></li>
<li><a href='http://www.52nlp.cn/acl09-full-paper-accepted-details' rel='bookmark' title='Permanent Link: ACL09 Full Paper录用情况'>ACL09 Full Paper录用情况</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-two' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时二'>ACL-IJCNLP 2009会议进行时二</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-common-abbreviations-acronyms' rel='bookmark' title='Permanent Link: 自然语言处理及计算语言学常见缩略语'>自然语言处理及计算语言学常见缩略语</a></li>
<li><a href='http://www.52nlp.cn/acl09-acceptance-rates-by-areas' rel='bookmark' title='Permanent Link: ACL09 Full Paper各研究领域的录用情况'>ACL09 Full Paper各研究领域的录用情况</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-prospect' rel='bookmark' title='Permanent Link: COLING 2010前瞻——规则与统计共舞，语言随计算齐飞'>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</a></li>
<li><a href='http://www.52nlp.cn/about-acl-anthology-network' rel='bookmark' title='Permanent Link: ACL Anthology 姊妹篇：ACL Anthology Network'>ACL Anthology 姊妹篇：ACL Anthology Network</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-best-paper-awards' rel='bookmark' title='Permanent Link: ACL 2010 Best Paper Awards'>ACL 2010 Best Paper Awards</a></li>
</ol></p>]]></content:encoded>
			<wfw:commentRss>http://www.52nlp.cn/acl-2010-list-of-accepted-papers/feed</wfw:commentRss>
		<slash:comments>15</slash:comments>
		</item>
		<item>
		<title>冯志伟：自然语言处理的形式模型</title>
		<link>http://www.52nlp.cn/%e5%86%af%e5%bf%97%e4%bc%9f-%e8%87%aa%e7%84%b6%e8%af%ad%e8%a8%80%e5%a4%84%e7%90%86%e7%9a%84%e5%bd%a2%e5%bc%8f%e6%a8%a1%e5%9e%8b</link>
		<comments>http://www.52nlp.cn/%e5%86%af%e5%bf%97%e4%bc%9f-%e8%87%aa%e7%84%b6%e8%af%ad%e8%a8%80%e5%a4%84%e7%90%86%e7%9a%84%e5%bd%a2%e5%bc%8f%e6%a8%a1%e5%9e%8b#comments</comments>
		<pubDate>Fri, 09 Apr 2010 12:34:39 +0000</pubDate>
		<dc:creator>52nlp</dc:creator>
				<category><![CDATA[自然语言处理]]></category>
		<category><![CDATA[计算语言学]]></category>
		<category><![CDATA[转载]]></category>
		<category><![CDATA[冯志伟]]></category>
		<category><![CDATA[自然语言处理书]]></category>
		<category><![CDATA[自然语言处理的形式模型]]></category>

		<guid isPermaLink="false">http://www.52nlp.cn/?p=3260</guid>
		<description><![CDATA[　　《自然语言处理的形式模型》是冯志伟老师2010年出的一本新书，也是近期国内自然语言处理及计算语言学领域的一部新著，属于”中国科大校友文库”系列，我没有看过全书，以下摘自于卓越网的介绍。
内容简介
《自然语言处理的形式模型》对自然语言处理中的各种形式模型进行了系统的梳理，分别讨论了基于短语结构语法的形式模型、基于合一运算的形式模型、基于依存和配价的形式模型、基于格语法的形式模型、基于词汇主义的形式模型、语义自动处理的形式模型、语用自动处理的形式模型、隐马尔可夫模型、统计机器翻译的形式模型。《自然语言处理的形式模型》说理透彻、语言流畅、实例丰富、深入浅出，适合于从事自然语言处理教学和研究的科研人员、大学师生阅读，也可以作为人工智能、计算语言学等课程的教学参考。
基本信息
出版社：中国科学技术大学出版社
页码：638 页
出版日期：2010年01月
ISBN：9787312022531
条形码：9787312022531
版本：第1版
装帧：平装
开本：16
正文语种：中文
丛书名：当代科学技术基础理论与前沿问题研究丛书:中国科学技术大学校友文库
目录
总序
前言
第1章 自然语言处理的学科定位
1.1 从自然语言处理的过程来考察其学科定位
1.2 从自然语言处理的范围来考察其学科定位
1.3 从自然语言处理的历史来考察其学科定位
1.4 当前自然语言处理发展的几个特点
第 2章 语言计算研究的先驱
2.1 Markov链
2.2 Zipf定律
2.3 Shannon关于“熵”的研究
2.4 Bar-Hillel的范畴语法
2.5 Harris的语言串分析法
2.6 o.c.KysmrHHa的语言集合论模型
第 3章 基于短语结构语法的形式模型
3.1 语法的Chomsky层级
3.2 有限状态语法和它的局限性
3.3 短语结构语法
3.4 递归转移网络和扩充转移网络
3.5 自底向上分析和自顶向下分析
3.6 通用句法生成器和线图分析法
3.7 Earley算法
3.8 左角分析法
3.9 CYK算法
3.10 Tomita算法
3.11 管辖-约束理论与最简方案
3.12 Joshi的树邻接语法
3.13 汉字结构的形式描述
第4章 基于合一运算的形式模型
4.1 中文信息MMT模型
4.2 Kaplan的词汇功能语法
4.3 MartinKay的功能合一语法
4.4 Gazdar的广义短语结构语法
4.5 Shieber的PATR
4.6 Pollard的中心语驱动的短语结构语法
4.7 Pereira和Warren定子句语法
第 5章 基于依存和配价的形式模型
5.1 配价观念的起源
5.2 Tesni6re的依存语法
5.3 依存语法在自然语言处理中的应用
5.4 配价语法
5.5 配价语法在自然语言处理中的应用
第6章 基于格语法的形式模型
6.1 Fillmore的格语法
6.2 Fillmore的框架网络
第7章 基于词汇主义的形式模型
7.1 Gross的词汇语法
7.2 链语法
7.3 词汇语义学
7.4 知识本体
7.5 词网WordNet
7.6 知网HowNet
第8章 [...]


相关文章:<ol><li><a href='http://www.52nlp.cn/%e8%87%aa%e7%84%b6%e8%af%ad%e8%a8%80%e5%a4%84%e7%90%86%e7%9a%84%e5%bd%a2%e5%bc%8f%e6%a8%a1%e5%9e%8b-%e5%af%bc%e8%af%bb' rel='bookmark' title='Permanent Link: 《自然语言处理的形式模型》导读'>《自然语言处理的形式模型》导读</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-one-foreign-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之一：国外书籍'>自然语言处理与计算语言学书籍汇总之一：国外书籍</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-five-machine-translation' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之五：机器翻译'>自然语言处理与计算语言学书籍汇总之五：机器翻译</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-%e8%af%84%e8%bf%b0%e8%8a%82%e9%80%89' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 评述节选'>ACL-IJCNLP 2009 评述节选</a></li>
<li><a href='http://www.52nlp.cn/acl09-acceptance-rates-by-areas' rel='bookmark' title='Permanent Link: ACL09 Full Paper各研究领域的录用情况'>ACL09 Full Paper各研究领域的录用情况</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-second-domestic-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之二：国内书籍'>自然语言处理与计算语言学书籍汇总之二：国内书籍</a></li>
<li><a href='http://www.52nlp.cn/acl-anthology-computational-linguistics-digital-archive' rel='bookmark' title='Permanent Link: ACL Anthology——计算语言学的数字档案'>ACL Anthology——计算语言学的数字档案</a></li>
<li><a href='http://www.52nlp.cn/the-advantages-and-disadvantages-of-the-rationalism-and-empiricism-in-nlp' rel='bookmark' title='Permanent Link: 自然语言处理中理性主义与经验主义的优缺点'>自然语言处理中理性主义与经验主义的优缺点</a></li>
<li><a href='http://www.52nlp.cn/acl-wiki-encyclopedia-of-computational-linguistics' rel='bookmark' title='Permanent Link: ACL Wiki——计算语言学的百科全书'>ACL Wiki——计算语言学的百科全书</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-list-of-accepted-papers-oral' rel='bookmark' title='Permanent Link: COLING 2010: List of Accepted Papers (Oral)'>COLING 2010: List of Accepted Papers (Oral)</a></li>
</ol>]]></description>
			<content:encoded><![CDATA[<p>　　《自然语言处理的形式模型》是冯志伟老师2010年出的一本新书，也是近期国内自然语言处理及计算语言学领域的一部新著，属于”中国科大校友文库”系列，我没有看过全书，以下摘自于卓越网的介绍。<span id="more-3260"></span></p>
<p><strong>内容简介</strong></p>
<p>《自然语言处理的形式模型》对自然语言处理中的各种形式模型进行了系统的梳理，分别讨论了基于短语结构语法的形式模型、基于合一运算的形式模型、基于依存和配价的形式模型、基于格语法的形式模型、基于词汇主义的形式模型、语义自动处理的形式模型、语用自动处理的形式模型、隐马尔可夫模型、统计机器翻译的形式模型。《自然语言处理的形式模型》说理透彻、语言流畅、实例丰富、深入浅出，适合于从事自然语言处理教学和研究的科研人员、大学师生阅读，也可以作为人工智能、计算语言学等课程的教学参考。</p>
<p><strong>基本信息</strong></p>
<p>出版社：中国科学技术大学出版社<br />
页码：638 页<br />
出版日期：2010年01月<br />
ISBN：9787312022531<br />
条形码：9787312022531<br />
版本：第1版<br />
装帧：平装<br />
开本：16<br />
正文语种：中文<br />
丛书名：当代科学技术基础理论与前沿问题研究丛书:中国科学技术大学校友文库</p>
<p><strong>目录</strong></p>
<p>总序<br />
前言<br />
第1章 自然语言处理的学科定位<br />
1.1 从自然语言处理的过程来考察其学科定位<br />
1.2 从自然语言处理的范围来考察其学科定位<br />
1.3 从自然语言处理的历史来考察其学科定位<br />
1.4 当前自然语言处理发展的几个特点</p>
<p>第 2章 语言计算研究的先驱<br />
2.1 Markov链<br />
2.2 Zipf定律<br />
2.3 Shannon关于“熵”的研究<br />
2.4 Bar-Hillel的范畴语法<br />
2.5 Harris的语言串分析法<br />
2.6 o.c.KysmrHHa的语言集合论模型</p>
<p>第 3章 基于短语结构语法的形式模型<br />
3.1 语法的Chomsky层级<br />
3.2 有限状态语法和它的局限性<br />
3.3 短语结构语法<br />
3.4 递归转移网络和扩充转移网络<br />
3.5 自底向上分析和自顶向下分析<br />
3.6 通用句法生成器和线图分析法<br />
3.7 Earley算法<br />
3.8 左角分析法<br />
3.9 CYK算法<br />
3.10 Tomita算法<br />
3.11 管辖-约束理论与最简方案<br />
3.12 Joshi的树邻接语法<br />
3.13 汉字结构的形式描述</p>
<p>第4章 基于合一运算的形式模型<br />
4.1 中文信息MMT模型<br />
4.2 Kaplan的词汇功能语法<br />
4.3 MartinKay的功能合一语法<br />
4.4 Gazdar的广义短语结构语法<br />
4.5 Shieber的PATR<br />
4.6 Pollard的中心语驱动的短语结构语法<br />
4.7 Pereira和Warren定子句语法</p>
<p>第 5章 基于依存和配价的形式模型<br />
5.1 配价观念的起源<br />
5.2 Tesni6re的依存语法<br />
5.3 依存语法在自然语言处理中的应用<br />
5.4 配价语法<br />
5.5 配价语法在自然语言处理中的应用</p>
<p>第6章 基于格语法的形式模型<br />
6.1 Fillmore的格语法<br />
6.2 Fillmore的框架网络</p>
<p>第7章 基于词汇主义的形式模型<br />
7.1 Gross的词汇语法<br />
7.2 链语法<br />
7.3 词汇语义学<br />
7.4 知识本体<br />
7.5 词网WordNet<br />
7.6 知网HowNet</p>
<p>第8章 语义自动处理的形式模型<br />
8.1 义素分析法<br />
8.2 语义场<br />
8.3 语义网络<br />
8.4 Montague的蒙塔鸠语法<br />
8.5 Wilks的优选语义学<br />
8.6 Schank的概念依存理论<br />
8.7 Mel’chuk的意义㈢文本理论<br />
8.8 词义排歧方法</p>
<p>第9章 系统功能语法<br />
9.1 系统功能语法的基本概念<br />
9.2 系统功能语法在自然语言处理中的应用</p>
<p>第10章 语用自动处理的形式模型<br />
10.1 Mann和Thompson的修辞结构理论<br />
10.2 文本连贯中的常识推理技术</p>
<p>第11章 概率语法<br />
11.1 概率上下文无关语法与句子的歧义<br />
11.2 概率上下文无关语法的基本原理<br />
11.3 概率上下文无关语法的三个假设<br />
11.4 概率词汇化上下文无关语法</p>
<p>第12章 Bayes公式与动态规划算法<br />
12.1 拼写错误的检查与更正<br />
12.2 Bayes公式与噪声信道模型<br />
12.3 最小编辑距离算法<br />
12.4 发音问题研究中的Bayes方法<br />
12.5 发音变异的决策树模型<br />
12.6 加权自动机<br />
12.7 向前算法<br />
12.8 Viterbi算法<br />
本章附录</p>
<p>第13章 N元语法和数据平滑<br />
13.1 N元语法<br />
13.2 数据平滑</p>
<p>第14章 隐马尔可夫模型（HMM）<br />
14.1 HMM模型概述<br />
14.2 HMM模型在语音识别中的应用</p>
<p>第 15章 统计机器翻译中的形式模型<br />
15.1 机器翻译与噪声信道模型<br />
15.2 最大熵模型<br />
15.3 基于平行概率语法的形式模型<br />
15.4 基于短语的统计机器翻译<br />
15.5 基于句法的统计机器翻译</p>
<p>第16章 自然语言处理系统的评测<br />
16.1 评测的一般原则和方法<br />
16.2 语音合成和文语转换系统的评测<br />
16.3 机器翻译系统的评测<br />
16.4 语料库系统的评测<br />
16.5 国外自然语言处理系统的评测</p>
<p>第17章 自然语言处理中的理性主义与经验主义<br />
17.1 哲学中的理性主义和经验主义<br />
17.2 自然语言处理中理性主义和经验主义的消长<br />
17.3 理性主义和经验主义的利弊得失<br />
17.4 探索理性主义方法和经验主义方法结合的途径</p>
<p>卓越亚马逊：<a href="http://www.amazon.cn/mn/searchApp?source=garypyang-23&#038;searchType=1&#038;keywords=自然语言处理的形式模型" title="自然语言处理的形式模型">自然语言处理的形式模型</a></p>
<p>注：转载请注明出处“<a href="http://www.52nlp.cn">我爱自然语言处理</a>”：<a href="http://www.52nlp.cn">www.52nlp.cn</a></p>
<p>本文链接地址：<a href="http://www.52nlp.cn/冯志伟-自然语言处理的形式模型">http://www.52nlp.cn/冯志伟-自然语言处理的形式模型</a></p>
<p>
<!-- Begin Google Adsense code -->
<script type="text/javascript"><!--
google_ad_client = "pub-4332174469367599";
/* 336x280, 创建于 09-2-7 */
google_ad_slot = "5707022987";
google_ad_width = 336;
google_ad_height = 280;
//-->
</script>
<script type="text/javascript"
src="http://pagead2.googlesyndication.com/pagead/show_ads.js">
</script>
<!-- End Google Adsense code -->
</p>


<p>相关文章:<ol><li><a href='http://www.52nlp.cn/%e8%87%aa%e7%84%b6%e8%af%ad%e8%a8%80%e5%a4%84%e7%90%86%e7%9a%84%e5%bd%a2%e5%bc%8f%e6%a8%a1%e5%9e%8b-%e5%af%bc%e8%af%bb' rel='bookmark' title='Permanent Link: 《自然语言处理的形式模型》导读'>《自然语言处理的形式模型》导读</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-one-foreign-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之一：国外书籍'>自然语言处理与计算语言学书籍汇总之一：国外书籍</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-five-machine-translation' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之五：机器翻译'>自然语言处理与计算语言学书籍汇总之五：机器翻译</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-%e8%af%84%e8%bf%b0%e8%8a%82%e9%80%89' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 评述节选'>ACL-IJCNLP 2009 评述节选</a></li>
<li><a href='http://www.52nlp.cn/acl09-acceptance-rates-by-areas' rel='bookmark' title='Permanent Link: ACL09 Full Paper各研究领域的录用情况'>ACL09 Full Paper各研究领域的录用情况</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-second-domestic-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之二：国内书籍'>自然语言处理与计算语言学书籍汇总之二：国内书籍</a></li>
<li><a href='http://www.52nlp.cn/acl-anthology-computational-linguistics-digital-archive' rel='bookmark' title='Permanent Link: ACL Anthology——计算语言学的数字档案'>ACL Anthology——计算语言学的数字档案</a></li>
<li><a href='http://www.52nlp.cn/the-advantages-and-disadvantages-of-the-rationalism-and-empiricism-in-nlp' rel='bookmark' title='Permanent Link: 自然语言处理中理性主义与经验主义的优缺点'>自然语言处理中理性主义与经验主义的优缺点</a></li>
<li><a href='http://www.52nlp.cn/acl-wiki-encyclopedia-of-computational-linguistics' rel='bookmark' title='Permanent Link: ACL Wiki——计算语言学的百科全书'>ACL Wiki——计算语言学的百科全书</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-list-of-accepted-papers-oral' rel='bookmark' title='Permanent Link: COLING 2010: List of Accepted Papers (Oral)'>COLING 2010: List of Accepted Papers (Oral)</a></li>
</ol></p>]]></content:encoded>
			<wfw:commentRss>http://www.52nlp.cn/%e5%86%af%e5%bf%97%e4%bc%9f-%e8%87%aa%e7%84%b6%e8%af%ad%e8%a8%80%e5%a4%84%e7%90%86%e7%9a%84%e5%bd%a2%e5%bc%8f%e6%a8%a1%e5%9e%8b/feed</wfw:commentRss>
		<slash:comments>11</slash:comments>
		</item>
		<item>
		<title>ACL-IJCNLP 2009 评述节选</title>
		<link>http://www.52nlp.cn/acl-ijcnlp-2009-%e8%af%84%e8%bf%b0%e8%8a%82%e9%80%89</link>
		<comments>http://www.52nlp.cn/acl-ijcnlp-2009-%e8%af%84%e8%bf%b0%e8%8a%82%e9%80%89#comments</comments>
		<pubDate>Thu, 18 Mar 2010 15:08:41 +0000</pubDate>
		<dc:creator>52nlp</dc:creator>
				<category><![CDATA[自然语言处理]]></category>
		<category><![CDATA[计算语言学]]></category>
		<category><![CDATA[转载]]></category>
		<category><![CDATA[ACL]]></category>
		<category><![CDATA[IJCNLP]]></category>
		<category><![CDATA[中文信息学报]]></category>
		<category><![CDATA[刘洋]]></category>
		<category><![CDATA[刘群]]></category>
		<category><![CDATA[机器翻译]]></category>
		<category><![CDATA[王海峰]]></category>
		<category><![CDATA[苏克毅]]></category>
		<category><![CDATA[贾里尼克]]></category>
		<category><![CDATA[赵世奇]]></category>

		<guid isPermaLink="false">http://www.52nlp.cn/?p=3155</guid>
		<description><![CDATA[　　晚上师弟传给我两篇《中文信息学报》09年第6期的文章：东芝(中国) 研究开发中心王海峰老师的《ACL-IJCNLP 2009 评述》以及中科院计算所米海涛,赵红梅,刘群老师的《第十二届机器翻译峰会和NIST2009 机器翻译评测研讨会简介》，读后感觉写得很不错，估计有些读者还未见到原文，计划在52nlp上分别节选一部分内容，分享一下这些与会专家的感受。
　　　　　　　　　ACL-IJCNLP 2009 评述
　　　　　　　　　　　　作者：王海峰
1 　概况
　　计算语言学学会( The Association for Computational Linguistics) 旗下的ACL 年会是国际上最有影响的计算语言学及自然语言处理学术会议,而IJCNLP 则是亚洲自然语言处理联合会(Asian Federation of Natural Language Processing) 的旗舰会议。2009 年,第47 届ACL 和第4 届IJCNLP的联合会议(ACL2IJ CNL P 2009) 于8 月2～7 日在新加坡成功召开,这是ACL 历史上第三次在亚洲召开(前两次分别为2000 年在中国香港、2003 年在日本札幌) 。除ACL-IJCNLP主会议外,还有一个会议(Conference) 、12 个专题研讨会(Workshop ) 和6 个专题讲座( Tutorial) 等同期举行。
　　&#8230;
2 　论文
　　每年的ACL 论文,尤其是主会议长文(Full Paper) ,基本反映了自然语言处理领域最新研究进展、代表了本领域最高研究水平。今年的主会议论文投稿数达到了创纪录的925 篇,其中长文569 篇、短文356 篇。被录用的长文有120 篇,录用率21. 1 %;短文被录用93 篇,录用率26. 1 [...]


相关文章:<ol><li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-best-paper-awards' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 Best Paper Awards'>ACL-IJCNLP 2009 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-two' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时二'>ACL-IJCNLP 2009会议进行时二</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/acl09-full-paper-accepted-details' rel='bookmark' title='Permanent Link: ACL09 Full Paper录用情况'>ACL09 Full Paper录用情况</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-five-machine-translation' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之五：机器翻译'>自然语言处理与计算语言学书籍汇总之五：机器翻译</a></li>
<li><a href='http://www.52nlp.cn/acl09-acceptance-rates-by-areas' rel='bookmark' title='Permanent Link: ACL09 Full Paper各研究领域的录用情况'>ACL09 Full Paper各研究领域的录用情况</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-best-paper-awards' rel='bookmark' title='Permanent Link: ACL 2010 Best Paper Awards'>ACL 2010 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/about-acl-anthology-network' rel='bookmark' title='Permanent Link: ACL Anthology 姊妹篇：ACL Anthology Network'>ACL Anthology 姊妹篇：ACL Anthology Network</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-prospect' rel='bookmark' title='Permanent Link: COLING 2010前瞻——规则与统计共舞，语言随计算齐飞'>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-common-abbreviations-acronyms' rel='bookmark' title='Permanent Link: 自然语言处理及计算语言学常见缩略语'>自然语言处理及计算语言学常见缩略语</a></li>
</ol>]]></description>
			<content:encoded><![CDATA[<p>　　晚上师弟传给我两篇《中文信息学报》09年第6期的文章：东芝(中国) 研究开发中心王海峰老师的《ACL-IJCNLP 2009 评述》以及中科院计算所米海涛,赵红梅,刘群老师的《第十二届机器翻译峰会和NIST2009 机器翻译评测研讨会简介》，读后感觉写得很不错，估计有些读者还未见到原文，计划在52nlp上分别节选一部分内容，分享一下这些与会专家的感受。<span id="more-3155"></span></p>
<p>　　　　　　　　　<strong>ACL-IJCNLP 2009 评述</strong><br />
　　　　　　　　　　　　作者：王海峰</p>
<p><strong>1 　概况</strong><br />
　　计算语言学学会( The Association for Computational Linguistics) 旗下的ACL 年会是国际上最有影响的计算语言学及自然语言处理学术会议,而IJCNLP 则是亚洲自然语言处理联合会(Asian Federation of Natural Language Processing) 的旗舰会议。2009 年,第47 届ACL 和第4 届IJCNLP的联合会议(ACL2IJ CNL P 2009) 于8 月2～7 日在新加坡成功召开,这是ACL 历史上第三次在亚洲召开(前两次分别为2000 年在中国香港、2003 年在日本札幌) 。除ACL-IJCNLP主会议外,还有一个会议(Conference) 、12 个专题研讨会(Workshop ) 和6 个专题讲座( Tutorial) 等同期举行。<br />
　　&#8230;</p>
<p><strong>2 　论文</strong><br />
　　每年的ACL 论文,尤其是主会议长文(Full Paper) ,基本反映了自然语言处理领域最新研究进展、代表了本领域最高研究水平。今年的主会议论文投稿数达到了创纪录的925 篇,其中长文569 篇、短文356 篇。被录用的长文有120 篇,录用率21. 1 %;短文被录用93 篇,录用率26. 1 %。以下着重介绍最受关注的主会议长文的情况(各项统计数据按第一作者计算) 。从地域分布来看,北美仍以56 篇论文居于领先地位,亚太地区以46 篇居第二位,其他18 篇来自欧洲,而南美等地区虽也有少量投稿,但未能被录用。从国家分布来看,美国的50 篇占有绝对优势,而中国大陆则以15 篇在世界上居于第二,其他发表论文较多的国家有日本、新加坡、德国、加拿大等。中国大陆的研究机构中,近年发表ACL论文较多的微软亚洲研究院、东芝(中国) 研究开发中心、中国科学院计算技术研究所及哈尔滨工业大学继续保持良好势头,再次分别发表多篇论文。同时,北京大学、清华大学、南开大学、苏州大学、中国科学院自动化研究所等单位也有斩获。个人方面,继去年哈尔滨工业大学博士生赵世奇以第一作者身份发表两篇ACL 主会议长文后,今年计算技术研究所刘洋博士也以第一作者身份独中两元,充分展示了我国年轻学者的实力。回顾中国大陆学者过去几年参与ACL 的情况,记得ACL 2005 时,来自中国大陆的主会议论文还只有3 篇、参会学者才仅有4 位。今天的繁荣与几年前的冷清形成了鲜明对比,这些年的长足进步实在值得欣喜。<br />
　　&#8230;<br />
　　近年来广受重视的机器翻译(Machine Translation) 研究仍然保持大热,投稿量和论文录用数量都大幅超过其他领域。从机器翻译领域研究内容来看,解码(Decoding) 受到了比以往更多的重视,从提高解码的性能、速度到在解码器上做系统融合,都有一些很好的结果产生,而本领域推荐的唯一最佳论文候选(Variational Decoding for Statistical Machine Translation) 也是关于解码的。其他研究较多的内容还包括基于语法的翻译、对齐、评价等。值得一提的是,华人学者贡献了23 篇机器翻译长文中的11 篇(其中5 篇来自中国大陆) ,几乎占据了半壁江山。而笔者受邀担任机器翻译领域的两主席之一(另一位是The University of Edinburgh的Philipp Koehn) 、计算技术研究所刘群与笔者分别担任机器翻译分会场主席等,相信也都与华人学者在该领域的整体实力及贡献的提高有关。<br />
　　除了机器翻译,其他一些传统方向,如语义、句法与分析等也占有较大比重。而句法与分析领域更是由于最高录用比例(28. 6 %) 和2 篇最佳论文而受到关注。<br />
　　总体看来,自然语言处理领域的各个方向都处于平稳进步的阶段。其中一个值得注意的现象是,算法的时间效率问题受到了广泛关注。记得一位本领域的国际著名学者曾说过:“我对超过多项式时间复杂性的算法毫无兴趣。”姑且不讨论这句话的是或非, 但算法效率的确非常重要。ACL-IJCNLP 2009 上, Stanford 的Michel Galley、Berkeley 的John DeNero 、Google 的Shankar Kumar 等很多学者都在提高算法效率方面做了很好的工作,包括分析领域的2 篇最佳论文在内的更多论文也都讨论了效率问题。事实上,在真实应用环境下,算法的效率何止重要,它甚至是决定性的。相信在很多研究致力于提高诸如翻译质量、分析准确率、生成正确率等性能指标的同时,提高算法效率方面也一定大有可为。</p>
<p><strong>3 　奖项</strong><br />
　　每年的ACL 都会颁发两个极受关注的奖项:终身成就奖(Lifetime Achievement Award) 和最佳论文奖(Best Paper Awards) 。<br />
　　终身成就奖是对曾对本领域做出过卓越贡献的学者的终极承认与褒奖,是本领域颁发的最高个人荣誉。约翰霍普金斯大学(Johns Hopkins University) 的Frederick Jelinek（注：贾里尼克）因在语音识别及机器翻译等领域的卓越贡献而获得今年的终身成就奖,其获奖演讲的题目是: The Dawn of ASR and MT。<br />
　　最佳论文则基本上代表着当年本领域最好的研究成果,也一定程度上预示着未来的发展动向。今年,各个领域主席共推选出6 篇最佳论文候选,最后,最佳论文委员会从中选择了3 篇作为最佳论文。其中,有2 篇来自传统的句法与分析领域: CMU 的Andre Martins 等人的“Concise Integer Linear Programming Formulations for Dependency Parsing”和Berkeley 的Adam Pauls 等人的“KBest A* Parsing”,另一篇是MIT 的S. R. K. Branavan 等人的“Reinforcement Learning for Mapping Instructions to Actions”。三篇最佳论文全都来自美国的一流名校,也从一个侧面反映出这些名校的确名不虚传。<br />
　　有趣的是,终生成就奖得主Frederick Jelinek和最佳论文得主之一S. R. K. Branavan 不约而同地提到了投稿被拒的往事。Frederick Jelinek 在回顾上世纪80 年代后期他所在的IBM 团队创立统计机器翻译方法的历程时提到,他们的第一篇统计机器翻译论文曾被COLING 拒稿。无独有偶, S. R.K. Branavan 在获奖感言中也提到她的获奖论文曾被先前召开的NAACL HLT 2009 拒稿,引得现场一片哄堂大笑。可见,投稿被拒并不可怕,只要坚定信心继续努力,是金子总会发光的。</p>
<p><strong>4 　结束语</strong><br />
　　除了上述中国大陆学者的情况外,来自中国香港和中国台湾、新加坡、日本及欧美各国的华人学者也在ACL-IJCNLP 2009 上展示了强大实力,本届大会主席( General Conference Chair) 苏克毅、程序委员会主席( Program Chair) 之一苏俭、组委会主席(Local Organizing Chair) 李海洲等就是其中的杰出代表。笔者相信,中国及全世界华人学者的水平仍将继续提高、贡献势将持续增加、影响也必将不断扩大。</p>
<p>附王海峰博士简介：<br />
　　东芝（中国）研究开发中心首席研究员（Chief Research Scientist）、副所长（Deputy Director of Toshiba (China)R&#038;D Center）、兼研究部部长（General Manager of Research Division）。王海峰博士1999年3月毕业于哈尔滨工业大学获工学博士学位，曾任微软（中国）研究院副研究员、isilk.com研究科学家(香港特区政府优秀人才计划)。主要研究方向为自然语言处理与机器翻译、信息检索、语音识别及合成等。</p>
<p>注：转载请注明出处“<a href="http://www.52nlp.cn">我爱自然语言处理</a>”：<a href="http://www.52nlp.cn">www.52nlp.cn</a></p>
<p>本文链接地址：<a href="http://www.52nlp.cn/acl-ijcnlp-2009-评述节选">http://www.52nlp.cn/acl-ijcnlp-2009-评述节选</a></p>
<p>
<!-- Begin Google Adsense code -->
<script type="text/javascript"><!--
google_ad_client = "pub-4332174469367599";
/* 336x280, 创建于 09-2-7 */
google_ad_slot = "5707022987";
google_ad_width = 336;
google_ad_height = 280;
//-->
</script>
<script type="text/javascript"
src="http://pagead2.googlesyndication.com/pagead/show_ads.js">
</script>
<!-- End Google Adsense code -->
</p>


<p>相关文章:<ol><li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-best-paper-awards' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 Best Paper Awards'>ACL-IJCNLP 2009 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-two' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时二'>ACL-IJCNLP 2009会议进行时二</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/acl09-full-paper-accepted-details' rel='bookmark' title='Permanent Link: ACL09 Full Paper录用情况'>ACL09 Full Paper录用情况</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-five-machine-translation' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之五：机器翻译'>自然语言处理与计算语言学书籍汇总之五：机器翻译</a></li>
<li><a href='http://www.52nlp.cn/acl09-acceptance-rates-by-areas' rel='bookmark' title='Permanent Link: ACL09 Full Paper各研究领域的录用情况'>ACL09 Full Paper各研究领域的录用情况</a></li>
<li><a href='http://www.52nlp.cn/acl-2010-best-paper-awards' rel='bookmark' title='Permanent Link: ACL 2010 Best Paper Awards'>ACL 2010 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/about-acl-anthology-network' rel='bookmark' title='Permanent Link: ACL Anthology 姊妹篇：ACL Anthology Network'>ACL Anthology 姊妹篇：ACL Anthology Network</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-prospect' rel='bookmark' title='Permanent Link: COLING 2010前瞻——规则与统计共舞，语言随计算齐飞'>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-common-abbreviations-acronyms' rel='bookmark' title='Permanent Link: 自然语言处理及计算语言学常见缩略语'>自然语言处理及计算语言学常见缩略语</a></li>
</ol></p>]]></content:encoded>
			<wfw:commentRss>http://www.52nlp.cn/acl-ijcnlp-2009-%e8%af%84%e8%bf%b0%e8%8a%82%e9%80%89/feed</wfw:commentRss>
		<slash:comments>8</slash:comments>
		</item>
		<item>
		<title>一些自然语言处理及计算语言学相关的课件</title>
		<link>http://www.52nlp.cn/some-natural-language-processing-and-computational-linguistics-courses-material</link>
		<comments>http://www.52nlp.cn/some-natural-language-processing-and-computational-linguistics-courses-material#comments</comments>
		<pubDate>Tue, 24 Nov 2009 15:12:42 +0000</pubDate>
		<dc:creator>52nlp</dc:creator>
				<category><![CDATA[自然语言处理]]></category>
		<category><![CDATA[计算语言学]]></category>
		<category><![CDATA[Michael Collins]]></category>
		<category><![CDATA[Philipp Koehn]]></category>
		<category><![CDATA[Regina Barzilay]]></category>
		<category><![CDATA[刘挺]]></category>
		<category><![CDATA[刘秉权]]></category>
		<category><![CDATA[刘群]]></category>
		<category><![CDATA[宗成庆]]></category>
		<category><![CDATA[常宝宝]]></category>
		<category><![CDATA[詹卫东]]></category>
		<category><![CDATA[课件]]></category>

		<guid isPermaLink="false">http://www.52nlp.cn/?p=2649</guid>
		<description><![CDATA[　　翻了一下自己的硬盘，整理了一些自然语言处理及计算语言学方面的课件，放在网络硬盘上做个备份，同时提供下载，估计对初学者比较有用。
1、哈工大刘挺老师的“统计自然语言处理”课件；
2、哈工大刘秉权老师的“自然语言处理”课件；
3、中科院计算所刘群老师的“计算语言学讲义&#8220;课件；
4、中科院自动化所宗成庆老师的“自然语言理解”课件；
5、北大常宝宝老师的“计算语言学”课件；
6、北大詹卫东老师的“中文信息处理基础”的课件及相关代码；
7、MIT Regina Barzilay教授的“自然语言处理”课件，52nlp上翻译了前5章；
8、MIT大牛Michael Collins的“Machine Learning Approaches for Natural Language Processing(面向自然语言处理的机器学习方法)”课件；
9、Michael Collins的“Machine Learning （机器学习）”课件；
10、SMT牛人Philipp Koehn “Advanced Natural Language Processing（高级自然语言处理）”课件；
11、Philipp Koehn “Empirical Methods in Natural Language Processing”课件；
12、Philipp Koehn“Machine Translation（机器翻译）”课件；
注：原创文章，转载请注明出处“我爱自然语言处理”：www.52nlp.cn
本文链接地址：http://www.52nlp.cn/some-natural-language-processing-and-computational-linguistics-courses-material










相关文章:自然语言处理与计算语言学书籍汇总之五：机器翻译
自然语言处理与计算语言学书籍汇总之一：国外书籍
ACL09 Full Paper各研究领域的录用情况
ACL-IJCNLP 2009 评述节选
自然语言处理及计算语言学常见缩略语
自然语言处理与计算语言学书籍汇总之六：国外书籍
COLING 2010前瞻——规则与统计共舞，语言随计算齐飞
ACL 2010文章已可下载
最有影响力的自然语言处理论文
自然语言处理与计算语言学书籍汇总之七：其他书籍



相关文章:<ol><li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-five-machine-translation' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之五：机器翻译'>自然语言处理与计算语言学书籍汇总之五：机器翻译</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-one-foreign-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之一：国外书籍'>自然语言处理与计算语言学书籍汇总之一：国外书籍</a></li>
<li><a href='http://www.52nlp.cn/acl09-acceptance-rates-by-areas' rel='bookmark' title='Permanent Link: ACL09 Full Paper各研究领域的录用情况'>ACL09 Full Paper各研究领域的录用情况</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-%e8%af%84%e8%bf%b0%e8%8a%82%e9%80%89' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 评述节选'>ACL-IJCNLP 2009 评述节选</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-common-abbreviations-acronyms' rel='bookmark' title='Permanent Link: 自然语言处理及计算语言学常见缩略语'>自然语言处理及计算语言学常见缩略语</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-six-foreign-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之六：国外书籍'>自然语言处理与计算语言学书籍汇总之六：国外书籍</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-prospect' rel='bookmark' title='Permanent Link: COLING 2010前瞻——规则与统计共舞，语言随计算齐飞'>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</a></li>
<li><a href='http://www.52nlp.cn/acl-2010%e6%96%87%e7%ab%a0%e5%b7%b2%e5%8f%af%e4%b8%8b%e8%bd%bd' rel='bookmark' title='Permanent Link: ACL 2010文章已可下载'>ACL 2010文章已可下载</a></li>
<li><a href='http://www.52nlp.cn/most-influential-nlp-papers' rel='bookmark' title='Permanent Link: 最有影响力的自然语言处理论文'>最有影响力的自然语言处理论文</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-seven-other-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之七：其他书籍'>自然语言处理与计算语言学书籍汇总之七：其他书籍</a></li>
</ol>]]></description>
			<content:encoded><![CDATA[<p>　　翻了一下自己的硬盘，整理了一些自然语言处理及计算语言学方面的课件，放在网络硬盘上做个备份，同时提供下载，估计对初学者比较有用。<span id="more-2649"></span></p>
<p>1、哈工大刘挺老师的“<a href="http://www.xun6.com/file/97c296a16/%E7%BB%9F%E8%AE%A1%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86-%E5%88%98%E6%8C%BA.rar.html"target=_blank>统计自然语言处理</a>”课件；<br />
2、哈工大刘秉权老师的“<a href="http://www.xun6.com/file/6b34e1a15/%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86-%E5%93%88%E5%B7%A5%E5%A4%A7%E5%88%98%E7%A7%89%E6%9D%83.rar.html"target=_blank>自然语言处理</a>”课件；<br />
3、中科院计算所刘群老师的“<a href="http://www.xun6.com/file/ea552a315/%E8%AE%A1%E7%AE%97%E8%AF%AD%E8%A8%80%E5%AD%A6%E8%AE%B2%E4%B9%89-%E5%88%98%E7%BE%A4.rar.html"target=_blank>计算语言学讲义</a>&#8220;课件；<br />
4、中科院自动化所宗成庆老师的“<a href="http://www.xun6.com/file/43f9f6c15/%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E7%90%86%E8%A7%A3-%E5%AE%97%E6%88%90%E5%BA%86.rar.html"target=_blank>自然语言理解</a>”课件；<br />
5、北大常宝宝老师的“<a href="http://www.xun6.com/file/c97e51f15/%E8%AE%A1%E7%AE%97%E8%AF%AD%E8%A8%80%E5%AD%A6-%E5%B8%B8%E5%AE%9D%E5%AE%9D.rar.html"target=_blank>计算语言学</a>”课件；<br />
6、北大詹卫东老师的“<a href="http://www.xun6.com/file/d08dd0d15/%E4%B8%AD%E6%96%87%E4%BF%A1%E6%81%AF%E5%A4%84%E7%90%86%E5%9F%BA%E7%A1%80-%E8%A9%B9%E5%8D%AB%E4%B8%9C.rar.html"target=_blank>中文信息处理基础</a>”的课件及相关代码；<br />
7、MIT Regina Barzilay教授的“<a href="http://www.xun6.com/file/7a1d66015/MIT%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86-Regina+Barzilay.rar.html"target=_blank>自然语言处理</a>”课件，52nlp上翻译了前5章；<br />
8、MIT大牛Michael Collins的“<a href="http://www.xun6.com/file/d15696e15/MIT-Machine-learning-for-nlp-Michael+Collins.rar.html"target=_blank>Machine Learning Approaches for Natural Language Processing</a>(面向自然语言处理的机器学习方法)”课件；<br />
9、Michael Collins的“<a href="http://www.xun6.com/file/072cfd815/MIT-Machine-learning-Michael+Collins.rar.html"target=_blank>Machine Learning </a>（机器学习）”课件；<br />
10、SMT牛人Philipp Koehn “<a href="http://www.xun6.com/file/e45969316/Advanced+Natural+Language+Processing-Philipp+Koehn.rar.html"target=_blank>Advanced Natural Language Processing</a>（高级自然语言处理）”课件；<br />
11、Philipp Koehn “<a href="http://www.xun6.com/file/7dbe55316/Empirical+Methods+in+Natural+Language+Processing-Philipp+Koehn.rar.html"target=_blank>Empirical Methods in Natural Language Processing</a>”课件；<br />
12、Philipp Koehn“<a href="http://www.xun6.com/file/6e5766d16/Machine+Translation-Philipp+Koehn.rar.html"target=_blank>Machine Translation</a>（机器翻译）”课件；</p>
<p>注：原创文章，转载请注明出处“<a href="http://www.52nlp.cn">我爱自然语言处理</a>”：<a href="http://www.52nlp.cn">www.52nlp.cn</a></p>
<p>本文链接地址：<a href="http://www.52nlp.cn/some-natural-language-processing-and-computational-linguistics-courses-material">http://www.52nlp.cn/some-natural-language-processing-and-computational-linguistics-courses-material</a></p>
<p>
<!-- Begin Google Adsense code -->
<script type="text/javascript"><!--
google_ad_client = "pub-4332174469367599";
/* 336x280, 创建于 09-2-7 */
google_ad_slot = "5707022987";
google_ad_width = 336;
google_ad_height = 280;
//-->
</script>
<script type="text/javascript"
src="http://pagead2.googlesyndication.com/pagead/show_ads.js">
</script>
<!-- End Google Adsense code -->
</p>


<p>相关文章:<ol><li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-five-machine-translation' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之五：机器翻译'>自然语言处理与计算语言学书籍汇总之五：机器翻译</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-one-foreign-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之一：国外书籍'>自然语言处理与计算语言学书籍汇总之一：国外书籍</a></li>
<li><a href='http://www.52nlp.cn/acl09-acceptance-rates-by-areas' rel='bookmark' title='Permanent Link: ACL09 Full Paper各研究领域的录用情况'>ACL09 Full Paper各研究领域的录用情况</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-%e8%af%84%e8%bf%b0%e8%8a%82%e9%80%89' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 评述节选'>ACL-IJCNLP 2009 评述节选</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-common-abbreviations-acronyms' rel='bookmark' title='Permanent Link: 自然语言处理及计算语言学常见缩略语'>自然语言处理及计算语言学常见缩略语</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-six-foreign-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之六：国外书籍'>自然语言处理与计算语言学书籍汇总之六：国外书籍</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-prospect' rel='bookmark' title='Permanent Link: COLING 2010前瞻——规则与统计共舞，语言随计算齐飞'>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</a></li>
<li><a href='http://www.52nlp.cn/acl-2010%e6%96%87%e7%ab%a0%e5%b7%b2%e5%8f%af%e4%b8%8b%e8%bd%bd' rel='bookmark' title='Permanent Link: ACL 2010文章已可下载'>ACL 2010文章已可下载</a></li>
<li><a href='http://www.52nlp.cn/most-influential-nlp-papers' rel='bookmark' title='Permanent Link: 最有影响力的自然语言处理论文'>最有影响力的自然语言处理论文</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-seven-other-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之七：其他书籍'>自然语言处理与计算语言学书籍汇总之七：其他书籍</a></li>
</ol></p>]]></content:encoded>
			<wfw:commentRss>http://www.52nlp.cn/some-natural-language-processing-and-computational-linguistics-courses-material/feed</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</title>
		<link>http://www.52nlp.cn/coling-2010-prospect</link>
		<comments>http://www.52nlp.cn/coling-2010-prospect#comments</comments>
		<pubDate>Tue, 29 Sep 2009 13:28:07 +0000</pubDate>
		<dc:creator>52nlp</dc:creator>
				<category><![CDATA[自然语言处理]]></category>
		<category><![CDATA[计算语言学]]></category>
		<category><![CDATA[ACL]]></category>
		<category><![CDATA[COLING]]></category>
		<category><![CDATA[COLING 2010]]></category>

		<guid isPermaLink="false">http://www.52nlp.cn/?p=2315</guid>
		<description><![CDATA[　　这是无意在COLING 2010主页底下发现的一句主题语，觉得写得很有意思，就作为这篇文章的副标题了。COLING是ACL之外另一个自然语言处理与计算语言学界的顶级会议，全称国际计算语言学大会(International Conference on Computational Linguistics)，每两年举办一次，第23届COLING会议将于2010年8月23日~27日在中国北京举行，由中文信息学会承办，以下是COLING 2010年征文全文，有兴趣的读者可以提前关注一下。
　　　　　　　　　　　　　COLING 2010 
The 23rd International Conference on Computational Linguistics
　　COLING 2010, the 23rd International Conference on Computational Linguistics, is being organized by the Chinese Information Processing Society of China (CIPS) and will be held in Beijing, China on August 23-27th, 2010 under the auspices of the International Committee on Computational [...]


相关文章:<ol><li><a href='http://www.52nlp.cn/acl-anthology-computational-linguistics-digital-archive' rel='bookmark' title='Permanent Link: ACL Anthology——计算语言学的数字档案'>ACL Anthology——计算语言学的数字档案</a></li>
<li><a href='http://www.52nlp.cn/acl-2010%e6%96%87%e7%ab%a0%e5%b7%b2%e5%8f%af%e4%b8%8b%e8%bd%bd' rel='bookmark' title='Permanent Link: ACL 2010文章已可下载'>ACL 2010文章已可下载</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-common-abbreviations-acronyms' rel='bookmark' title='Permanent Link: 自然语言处理及计算语言学常见缩略语'>自然语言处理及计算语言学常见缩略语</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-list-of-accepted-papers-oral' rel='bookmark' title='Permanent Link: COLING 2010: List of Accepted Papers (Oral)'>COLING 2010: List of Accepted Papers (Oral)</a></li>
<li><a href='http://www.52nlp.cn/acl-wiki-encyclopedia-of-computational-linguistics' rel='bookmark' title='Permanent Link: ACL Wiki——计算语言学的百科全书'>ACL Wiki——计算语言学的百科全书</a></li>
<li><a href='http://www.52nlp.cn/getting-started-in-natural-language-processing' rel='bookmark' title='Permanent Link: 如何学习自然语言处理'>如何学习自然语言处理</a></li>
<li><a href='http://www.52nlp.cn/about-acl-anthology-network' rel='bookmark' title='Permanent Link: ACL Anthology 姊妹篇：ACL Anthology Network'>ACL Anthology 姊妹篇：ACL Anthology Network</a></li>
<li><a href='http://www.52nlp.cn/acl09-full-paper-accepted-details' rel='bookmark' title='Permanent Link: ACL09 Full Paper录用情况'>ACL09 Full Paper录用情况</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-%e8%af%84%e8%bf%b0%e8%8a%82%e9%80%89' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 评述节选'>ACL-IJCNLP 2009 评述节选</a></li>
</ol>]]></description>
			<content:encoded><![CDATA[<p>　　这是无意在COLING 2010主页底下发现的一句主题语，觉得写得很有意思，就作为这篇文章的副标题了。COLING是ACL之外另一个自然语言处理与计算语言学界的顶级会议，全称国际计算语言学大会(International Conference on Computational Linguistics)，每两年举办一次，第23届COLING会议将于2010年8月23日~27日在中国北京举行，由中文信息学会承办，以下是COLING 2010年征文全文，有兴趣的读者可以提前关注一下。<span id="more-2315"></span></p>
<p>　　　　　　　　　　　　　<strong>COLING 2010</strong> </p>
<blockquote><p>The 23rd International Conference on Computational Linguistics</p></blockquote>
<p>　　COLING 2010, the 23rd International Conference on Computational Linguistics, is being organized by the Chinese Information Processing Society of China (CIPS) and will be held in Beijing, China on August 23-27th, 2010 under the auspices of the International Committee on Computational Linguistics (ICCL) . We look forward to welcoming you to Beijing, the cultural, educational, and political capital of China, and the proud host of the 2008 Olympics.<br />
　　COLING will cover a broad spectrum of technical areas related to natural language and computation. The conference will include full papers, oral presentations, poster presentations, demonstrations, tutorials, and workshops. We invite the submission of papers on original and unpublished research on all aspects of computational linguistics. More details will be available closer to the April 19, 2010 submission deadline.<br />
<strong>•　Important Dates:</strong><br />
　Apr 19, 2010　Full paper submissions due (Main conference)<br />
　May 28, 2010　Acceptance notification of main conference<br />
　May 30, 2010　Submission deadline for workshop papers<br />
　Jun 30, 2010　Acceptance notification of workshop papers<br />
　Jul 2, 2010　Camera-ready full papers due (Main conference)<br />
　Jul 10, 2010　Camera-ready full papers due (Workshops)<br />
　Aug 21-22, 2010　Pre-COLING(Collocating conferences/workshops)<br />
　Aug 23-27, 2010　COLING 2010 Main Conference<br />
　Aug 28, 2010　Post-COLING (one-day workshops)<br />
<strong>•　Topics of interest: </strong><br />
Topics include, but are not limited to:<br />
　Syntax, semantics, grammar, and the lexicon<br />
　Lexical semantics and ontologies<br />
　Phonology/morphology, word segmentation, and tagging<br />
　Summarization<br />
　Language generation<br />
　Paraphrasing and textual entailment<br />
　Parsing and chunking<br />
　Spoken language processing, understanding and speech-to-speech translation<br />
　Linguistic, psychological and mathematical models of language<br />
　Computational pragmatics<br />
　Dialogue and conversational agents<br />
　Computational models of discourse<br />
　Information retrieval<br />
　Question answering<br />
　Word sense disambiguation<br />
　Information extraction and text mining<br />
　Semantic role labeling<br />
　Sentiment analysis and opinion mining<br />
　Corpus-based modeling of language<br />
　Machine translation and translation aids<br />
　Multilingual processing<br />
　Multimodal systems and representations<br />
　Statistical and machine learning methods<br />
　Applications<br />
　Corpus development and language resources<br />
　Evaluation methods and user studies </p>
<p>COLING 2010主页见：<a href="http://www.coling-2010.org/"target=_blank>http://www.coling-2010.org/</a></p>
<p>注：转载请注明出处“<a href="http://www.52nlp.cn">我爱自然语言处理</a>”：<a href="http://www.52nlp.cn">www.52nlp.cn</a></p>
<p>本文链接地址：<a href="http://www.52nlp.cn/coling-2010-prospect">http://www.52nlp.cn/coling-2010-prospect</a></p>
<p>
<!-- Begin Google Adsense code -->
<script type="text/javascript"><!--
google_ad_client = "pub-4332174469367599";
/* 336x280, 创建于 09-2-7 */
google_ad_slot = "5707022987";
google_ad_width = 336;
google_ad_height = 280;
//-->
</script>
<script type="text/javascript"
src="http://pagead2.googlesyndication.com/pagead/show_ads.js">
</script>
<!-- End Google Adsense code -->
</p>


<p>相关文章:<ol><li><a href='http://www.52nlp.cn/acl-anthology-computational-linguistics-digital-archive' rel='bookmark' title='Permanent Link: ACL Anthology——计算语言学的数字档案'>ACL Anthology——计算语言学的数字档案</a></li>
<li><a href='http://www.52nlp.cn/acl-2010%e6%96%87%e7%ab%a0%e5%b7%b2%e5%8f%af%e4%b8%8b%e8%bd%bd' rel='bookmark' title='Permanent Link: ACL 2010文章已可下载'>ACL 2010文章已可下载</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-common-abbreviations-acronyms' rel='bookmark' title='Permanent Link: 自然语言处理及计算语言学常见缩略语'>自然语言处理及计算语言学常见缩略语</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-list-of-accepted-papers-oral' rel='bookmark' title='Permanent Link: COLING 2010: List of Accepted Papers (Oral)'>COLING 2010: List of Accepted Papers (Oral)</a></li>
<li><a href='http://www.52nlp.cn/acl-wiki-encyclopedia-of-computational-linguistics' rel='bookmark' title='Permanent Link: ACL Wiki——计算语言学的百科全书'>ACL Wiki——计算语言学的百科全书</a></li>
<li><a href='http://www.52nlp.cn/getting-started-in-natural-language-processing' rel='bookmark' title='Permanent Link: 如何学习自然语言处理'>如何学习自然语言处理</a></li>
<li><a href='http://www.52nlp.cn/about-acl-anthology-network' rel='bookmark' title='Permanent Link: ACL Anthology 姊妹篇：ACL Anthology Network'>ACL Anthology 姊妹篇：ACL Anthology Network</a></li>
<li><a href='http://www.52nlp.cn/acl09-full-paper-accepted-details' rel='bookmark' title='Permanent Link: ACL09 Full Paper录用情况'>ACL09 Full Paper录用情况</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-%e8%af%84%e8%bf%b0%e8%8a%82%e9%80%89' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 评述节选'>ACL-IJCNLP 2009 评述节选</a></li>
</ol></p>]]></content:encoded>
			<wfw:commentRss>http://www.52nlp.cn/coling-2010-prospect/feed</wfw:commentRss>
		<slash:comments>9</slash:comments>
		</item>
		<item>
		<title>ACL09 Full Paper各研究领域的录用情况</title>
		<link>http://www.52nlp.cn/acl09-acceptance-rates-by-areas</link>
		<comments>http://www.52nlp.cn/acl09-acceptance-rates-by-areas#comments</comments>
		<pubDate>Sat, 12 Sep 2009 11:01:00 +0000</pubDate>
		<dc:creator>52nlp</dc:creator>
				<category><![CDATA[自然语言处理]]></category>
		<category><![CDATA[计算语言学]]></category>
		<category><![CDATA[转载]]></category>
		<category><![CDATA[ACL]]></category>
		<category><![CDATA[ACL09]]></category>
		<category><![CDATA[Full Paper]]></category>
		<category><![CDATA[IJCNLP]]></category>
		<category><![CDATA[水木社区]]></category>

		<guid isPermaLink="false">http://www.52nlp.cn/?p=2181</guid>
		<description><![CDATA[　　本文转自水木社区的自然语言处理版，给出的是ACL09 Full Paper中各自然语言处理及计算语言学各研究领域论文的录用情况，包括投稿数、录用数及录用率。
ACL09 acceptance rates by areas
Areas 　　　　　　　　　　Sub   　　　Accepted     　　　Rate
Phonology/morphology,
POS tagging and chunking,
Word Segmentation       　　　　　31      　　　　　8       　　　　　　26%
Syntax and Parsing      　　　　　49     　　　　 14  [...]


相关文章:<ol><li><a href='http://www.52nlp.cn/acl09-full-paper-accepted-details' rel='bookmark' title='Permanent Link: ACL09 Full Paper录用情况'>ACL09 Full Paper录用情况</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-prospect' rel='bookmark' title='Permanent Link: COLING 2010前瞻——规则与统计共舞，语言随计算齐飞'>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-two' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时二'>ACL-IJCNLP 2009会议进行时二</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-six-foreign-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之六：国外书籍'>自然语言处理与计算语言学书籍汇总之六：国外书籍</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-common-abbreviations-acronyms' rel='bookmark' title='Permanent Link: 自然语言处理及计算语言学常见缩略语'>自然语言处理及计算语言学常见缩略语</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-%e8%af%84%e8%bf%b0%e8%8a%82%e9%80%89' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 评述节选'>ACL-IJCNLP 2009 评述节选</a></li>
<li><a href='http://www.52nlp.cn/about-acl-anthology-network' rel='bookmark' title='Permanent Link: ACL Anthology 姊妹篇：ACL Anthology Network'>ACL Anthology 姊妹篇：ACL Anthology Network</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-best-paper-awards' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 Best Paper Awards'>ACL-IJCNLP 2009 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/brief-introduction-for-the-research-in-computational-linguistics' rel='bookmark' title='Permanent Link: 计算语言学研究简介'>计算语言学研究简介</a></li>
</ol>]]></description>
			<content:encoded><![CDATA[<p>　　本文转自水木社区的自然语言处理版，给出的是ACL09 Full Paper中各自然语言处理及计算语言学各研究领域论文的录用情况，包括投稿数、录用数及录用率。<span id="more-2181"></span></p>
<blockquote><p>ACL09 acceptance rates by areas</p></blockquote>
<p><strong>Areas 　　　　　　　　　　Sub   　　　Accepted     　　　Rate</strong></p>
<p>Phonology/morphology,<br />
POS tagging and chunking,<br />
Word Segmentation       　　　　　31      　　　　　8       　　　　　　26%</p>
<p>Syntax and Parsing      　　　　　49     　　　　 14      　　　　　　29%</p>
<p>Semantics       　　　　　　　　　　67      　　　　14     　　　　　　 21%</p>
<p>Discourse, Dialogue<br />
and Pragmatics      　　　　　　　43      　　　　　9       　　　　　　21%</p>
<p>Summarization and Generation    44      　　　　　8       　　　　　　18%</p>
<p>Statistical and<br />
Machine Learning Methods        　　40      　　　　　6       　　　　　　15%</p>
<p>Machine Translation     　　　　　82      　　　　　23      　　　　　　28%</p>
<p>Information Retrieval   　　　　　28      　　　　　4       　　　　　14%</p>
<p>Information Extraction  　　　　49      　　　　　10      　　　　　20%</p>
<p>Sentiment Analysis, Opinion Mining<br />
and Text Classification      　　　　45      　　　　　7       　　　　　16%</p>
<p>Spoken Language Processing      　19      　　　　6       　　　　　　32%</p>
<p>Question Answering      　　　　　　25      　　　　3       　　　　　12%</p>
<p>Text mining and NLP Applications    21      　　　　4       　　　　　19%</p>
<p>Language Resource       　　　　　　26      　　　　　4       　　　　　15%</p>
<p>Total   　　　　　　　　　　　　　569     　　　　120     　　　　　21%</p>
<p>注：转载请注明出处“<a href="http://www.52nlp.cn">我爱自然语言处理</a>”：<a href="http://www.52nlp.cn">www.52nlp.cn</a></p>
<p>本文链接地址：<a href="http://www.52nlp.cn/acl09-acceptance-rates-by-areas/">http://www.52nlp.cn/acl09-acceptance-rates-by-areas/</a></p>
<p>
<!-- Begin Google Adsense code -->
<script type="text/javascript"><!--
google_ad_client = "pub-4332174469367599";
/* 336x280, 创建于 09-2-7 */
google_ad_slot = "5707022987";
google_ad_width = 336;
google_ad_height = 280;
//-->
</script>
<script type="text/javascript"
src="http://pagead2.googlesyndication.com/pagead/show_ads.js">
</script>
<!-- End Google Adsense code -->
</p>


<p>相关文章:<ol><li><a href='http://www.52nlp.cn/acl09-full-paper-accepted-details' rel='bookmark' title='Permanent Link: ACL09 Full Paper录用情况'>ACL09 Full Paper录用情况</a></li>
<li><a href='http://www.52nlp.cn/coling-2010-prospect' rel='bookmark' title='Permanent Link: COLING 2010前瞻——规则与统计共舞，语言随计算齐飞'>COLING 2010前瞻——规则与统计共舞，语言随计算齐飞</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-one' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时一'>ACL-IJCNLP 2009会议进行时一</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-running-two' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009会议进行时二'>ACL-IJCNLP 2009会议进行时二</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-books-summary-six-foreign-book' rel='bookmark' title='Permanent Link: 自然语言处理与计算语言学书籍汇总之六：国外书籍'>自然语言处理与计算语言学书籍汇总之六：国外书籍</a></li>
<li><a href='http://www.52nlp.cn/natural-language-processing-and-computational-linguistics-common-abbreviations-acronyms' rel='bookmark' title='Permanent Link: 自然语言处理及计算语言学常见缩略语'>自然语言处理及计算语言学常见缩略语</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-%e8%af%84%e8%bf%b0%e8%8a%82%e9%80%89' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 评述节选'>ACL-IJCNLP 2009 评述节选</a></li>
<li><a href='http://www.52nlp.cn/about-acl-anthology-network' rel='bookmark' title='Permanent Link: ACL Anthology 姊妹篇：ACL Anthology Network'>ACL Anthology 姊妹篇：ACL Anthology Network</a></li>
<li><a href='http://www.52nlp.cn/acl-ijcnlp-2009-best-paper-awards' rel='bookmark' title='Permanent Link: ACL-IJCNLP 2009 Best Paper Awards'>ACL-IJCNLP 2009 Best Paper Awards</a></li>
<li><a href='http://www.52nlp.cn/brief-introduction-for-the-research-in-computational-linguistics' rel='bookmark' title='Permanent Link: 计算语言学研究简介'>计算语言学研究简介</a></li>
</ol></p>]]></content:encoded>
			<wfw:commentRss>http://www.52nlp.cn/acl09-acceptance-rates-by-areas/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>
