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  <span style="color:#555555;"> 
    Iryna <a href="http://www.bibsonomy.org/author/Gurevych">Gurevych</a>         	     	 
        	  and Christof <a href="http://www.bibsonomy.org/author/M%C3%BCller">Müller</a>         	     	 
        	  and Torsten <a href="http://www.bibsonomy.org/author/Zesch">Zesch</a>         	     	 
        	 </span> 
  <em>ACL</em>
    
  (2007)
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  <span style="color:#555555;"> 
    Torsten <a href="http://www.bibsonomy.org/author/Zesch">Zesch</a>         	     	 
        	  and Iryna <a href="http://www.bibsonomy.org/author/Gurevych">Gurevych</a>         	     	 
        	 </span> 
  <em>COLING/ACL 2006 Workshop on Linguistic Distances</em>
    16--24
  (2006)
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    <description>JWPL</description><link>http://www.bibsonomy.org/bibtex/2535de02686dbbd8de52571e4019ef4c9/hkorte</link>
    <dc:creator>hkorte</dc:creator>
    <dc:date>2008-05-03T20:04:12+02:00</dc:date>
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  <a href="http://www.bibsonomy.org/bibtex/2535de02686dbbd8de52571e4019ef4c9/hkorte">Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary</a>
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<div class="bmdesc">
  <span style="color:#555555;"> 
    Torsten <a href="http://www.bibsonomy.org/author/Zesch">Zesch</a>         	     	 
        	  and Christof <a href="http://www.bibsonomy.org/author/M%7B%5C%22u%7Dller">M{\&#034;u}ller</a>         	     	 
        	  and Iryna <a href="http://www.bibsonomy.org/author/Gurevych">Gurevych</a>         	     	 
        	 </span> 
  <em>Proceedings of the Conference on Language Resources and Evaluation (LREC)</em>
    
  (2008)
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          by <a href="http://www.bibsonomy.org/user/hkorte">hkorte</a> 
        
        
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	    <![CDATA[
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  <a href="http://www.bibsonomy.org/bibtex/22d8f740fe023824a89405eaaddc4bfce/renew">Analyzing and Accessing Wikipedia as a Lexical Semantic Resource</a>
</div>
<div class="bmdesc">
  <span style="color:#555555;"> 
    Torsten <a href="http://www.bibsonomy.org/author/Zesch">Zesch</a>         	     	 
        	  and Iryna <a href="http://www.bibsonomy.org/author/Gurevych">Gurevych</a>         	     	 
        	  and Max <a href="http://www.bibsonomy.org/author/M%C3%BChlh%C3%A4user">Mühlhäuser</a>         	     	 
        	 </span> 
  <em>Biannual Conference of the Society for Computational Linguistics and Language Technology</em>
    
  (2007)
</div>
<span class="bmmeta">
  
  
        to
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        <a href="http://www.bibsonomy.org/user/renew/lexical">lexical</a>
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        <a href="http://www.bibsonomy.org/user/renew/semantics">semantics</a>
        <a href="http://www.bibsonomy.org/user/renew/wikipedia">wikipedia</a>
        </span>
        

          by <a href="http://www.bibsonomy.org/user/renew">renew</a> 
        
        
        on 2008-02-27 00:48:49 </span></div>
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        <swrc:booktitle>Biannual Conference of the Society for Computational Linguistics and Language Technology</swrc:booktitle><swrc:school><swrc:University swrc:name="Darmstadt University of Technology"/></swrc:school><swrc:title>Analyzing and Accessing Wikipedia as a Lexical Semantic Resource</swrc:title><swrc:year>2007</swrc:year><swrc:keywords>lexical nlp semantics wikipedia </swrc:keywords><swrc:date>2008-02-27 00:48:49.0</swrc:date><swrc:abstract>We analyze Wikipedia as a lexical semantic resource and compare it with conventional resources, such as dictionaries, thesauri, semantic wordnets, etc. Different parts of Wikipedia reflect different aspects of these resources. We show that Wikipedia contains a vast amount of knowledge about, e.g., named entities, domain specific terms, and rare word senses. If Wikipedia is to be used as a lexical semantic resource in large-scale NLP tasks, efficient programmatic access to the knowledge therein is required. We review existing access mechanisms and show that they are limited with respect to performance and the provided access functions. Therefore, we introduce a general purpose, high performance Java-based Wikipedia API that overcomes these limitations. It is available for research purposes at http://www.ukp.tu-darmstadt.de/software/WikipediaAPI.</swrc:abstract><swrc:hasExtraField>
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<item rdf:about="http://www.bibsonomy.org/uri/bibtex/22d8f740fe023824a89405eaaddc4bfce/brightbyte">
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    <description>stuff from citeyoulike</description><link>http://www.bibsonomy.org/bibtex/22d8f740fe023824a89405eaaddc4bfce/brightbyte</link>
    <dc:creator>brightbyte</dc:creator>
    <dc:date>2008-02-27T00:39:46+01:00</dc:date>
    <dc:subject>API READ WW-MUST mining nlp semantic wikipedia </dc:subject>
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	    <![CDATA[
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	      <div class="bmtitle">

  <a href="http://www.bibsonomy.org/bibtex/22d8f740fe023824a89405eaaddc4bfce/brightbyte">Analyzing and Accessing Wikipedia as a Lexical Semantic Resource</a>
</div>
<div class="bmdesc">
  <span style="color:#555555;"> 
    Torsten <a href="http://www.bibsonomy.org/author/Zesch">Zesch</a>         	     	 
        	  and Iryna <a href="http://www.bibsonomy.org/author/Gurevych">Gurevych</a>         	     	 
        	  and Max <a href="http://www.bibsonomy.org/author/M%C3%BChlh%C3%A4user">Mühlhäuser</a>         	     	 
        	 </span> 
  <em>Biannual Conference of the Society for Computational Linguistics and Language Technology</em>
    
  (2007)
</div>
<span class="bmmeta">
  
  
        to
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        <a href="http://www.bibsonomy.org/user/brightbyte/API">API</a>
        <a href="http://www.bibsonomy.org/user/brightbyte/READ">READ</a>
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        <a href="http://www.bibsonomy.org/user/brightbyte/wikipedia">wikipedia</a>
        </span>
        

          by <a href="http://www.bibsonomy.org/user/brightbyte">brightbyte</a> 
        
        
        on 2008-02-27 00:39:46 </span></div>
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        <swrc:booktitle>Biannual Conference of the Society for Computational Linguistics and Language Technology</swrc:booktitle><swrc:school><swrc:University swrc:name="Darmstadt University of Technology"/></swrc:school><swrc:title>Analyzing and Accessing Wikipedia as a Lexical Semantic Resource</swrc:title><swrc:year>2007</swrc:year><swrc:keywords>API READ WW-MUST mining nlp semantic wikipedia </swrc:keywords><swrc:date>2008-02-27 00:39:46.0</swrc:date><swrc:abstract>We analyze Wikipedia as a lexical semantic resource and compare it with conventional resources, such as dictionaries, thesauri, semantic wordnets, etc. Different parts of Wikipedia reflect different aspects of these resources. We show that Wikipedia contains a vast amount of knowledge about, e.g., named entities, domain specific terms, and rare word senses. If Wikipedia is to be used as a lexical semantic resource in large-scale NLP tasks, efficient programmatic access to the knowledge therein is required. We review existing access mechanisms and show that they are limited with respect to performance and the provided access functions. Therefore, we introduce a general purpose, high performance Java-based Wikipedia API that overcomes these limitations. It is available for research purposes at http://www.ukp.tu-darmstadt.de/software/WikipediaAPI.</swrc:abstract><swrc:hasExtraField>
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<item rdf:about="http://www.bibsonomy.org/uri/bibtex/20d94192305149e10721d3a8f9ca8bb0a/brightbyte">
    <title>Comparing Wikipedia and German Wordnet by Evaluating Semantic Relatedness on Multiple Datasets</title>
    <description>stuff from citeyoulike</description><link>http://www.bibsonomy.org/bibtex/20d94192305149e10721d3a8f9ca8bb0a/brightbyte</link>
    <dc:creator>brightbyte</dc:creator>
    <dc:date>2008-02-26T23:54:34+01:00</dc:date>
    <dc:subject>READ WW-MUST relatedness wikipedia wordnet </dc:subject>
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	    <![CDATA[
        <div class="block">
	      <div class="bmtitle">

  <a href="http://www.bibsonomy.org/bibtex/20d94192305149e10721d3a8f9ca8bb0a/brightbyte">Comparing Wikipedia and German Wordnet by Evaluating Semantic Relatedness on Multiple Datasets</a>
</div>
<div class="bmdesc">
  <span style="color:#555555;"> 
    Torsten <a href="http://www.bibsonomy.org/author/Zesch">Zesch</a>         	     	 
        	  and Iryna <a href="http://www.bibsonomy.org/author/Gurevych">Gurevych</a>         	     	 
        	  and Max <a href="http://www.bibsonomy.org/author/M%C3%BChlh%C3%A4user">Mühlhäuser</a>         	     	 
        	 </span> 
  <em>Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT)</em>
    
  (2007)
</div>
<span class="bmmeta">
  
  
        to
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        <a href="http://www.bibsonomy.org/user/brightbyte/READ">READ</a>
        <a href="http://www.bibsonomy.org/user/brightbyte/WW-MUST">WW-MUST</a>
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        <a href="http://www.bibsonomy.org/user/brightbyte/wordnet">wordnet</a>
        </span>
        

          by <a href="http://www.bibsonomy.org/user/brightbyte">brightbyte</a> 
        
        
        on 2008-02-26 23:54:34 </span></div>
	    ]]>
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        <rdf:li rdf:resource="http://www.bibsonomy.org/tag/WW-MUST" />
        <rdf:li rdf:resource="http://www.bibsonomy.org/tag/relatedness" />
        <rdf:li rdf:resource="http://www.bibsonomy.org/tag/wikipedia" />
        <rdf:li rdf:resource="http://www.bibsonomy.org/tag/wordnet" />
        </rdf:Bag>
    </taxo:topics>
    <burst:publication>
      <swrc:InProceedings>
        <swrc:booktitle>Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT)</swrc:booktitle><swrc:school><swrc:University swrc:name="Darmstadt University of Technology"/></swrc:school><swrc:title>Comparing Wikipedia and German Wordnet by Evaluating Semantic Relatedness on Multiple Datasets</swrc:title><swrc:year>2007</swrc:year><swrc:keywords>READ WW-MUST relatedness wikipedia wordnet </swrc:keywords><swrc:date>2008-02-26 23:54:34.0</swrc:date><swrc:abstract>We evaluate semantic relatedness mea- sures on different German datasets show- ing that their performance depends on: (i) the deﬁnition of relatedness that was underlying the construction of the evaluation dataset, and (ii) the knowledge source used for computing semantic relatedness. We analyze how the underlying knowledge source inﬂuences the performance of a measure. Finally, we investigate the combination of wordnets and Wikipedia to improve the performance of semantic re- latedness measures.</swrc:abstract><swrc:hasExtraField>
    <swrc:Field swrc:key="id" swrc:value="2348609"/>
  </swrc:hasExtraField>
<swrc:hasExtraField>
    <swrc:Field swrc:key="priority" swrc:value="0"/>
  </swrc:hasExtraField>
<swrc:author>
  <rdf:Seq>
  <rdf:_1><swrc:Person swrc:name="Torsten Zesch" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Iryna Gurevych" /></rdf:_2>
  <rdf:_3><swrc:Person swrc:name="Max Mühlhäuser" /></rdf:_3>
  </rdf:Seq>
</swrc:author>

<swrc:editor>
  <rdf:Seq>
  </rdf:Seq>
</swrc:editor></swrc:InProceedings>  
    </burst:publication>
  </item>
<item rdf:about="http://www.bibsonomy.org/uri/bibtex/2332ed720a72bf069275f93485432314b/brightbyte">
    <title>Analysis of the Wikipedia Category Graph for NLP Applications</title>
    <description>stuff from citeyoulike</description><link>http://www.bibsonomy.org/bibtex/2332ed720a72bf069275f93485432314b/brightbyte</link>
    <dc:creator>brightbyte</dc:creator>
    <dc:date>2008-02-10T02:19:38+01:00</dc:date>
    <dc:subject>READ WW-MUST nlp relatedness semantic wikipedia </dc:subject>
    <content:encoded>
	    <![CDATA[
        <div class="block">
	      <div class="bmtitle">

  <a href="http://www.bibsonomy.org/bibtex/2332ed720a72bf069275f93485432314b/brightbyte">Analysis of the Wikipedia Category Graph for NLP Applications</a>
</div>
<div class="bmdesc">
  <span style="color:#555555;"> 
    Torsten <a href="http://www.bibsonomy.org/author/Zesch">Zesch</a>         	     	 
        	  and Iryna <a href="http://www.bibsonomy.org/author/Gurevych">Gurevych</a>         	     	 
        	 </span> 
  <em>Proceedings of the TextGraphs-2 Workshop (NAACL-HLT)</em>
    
  (2007)
</div>
<span class="bmmeta">
  
  
        to
        <span class="bmtags">
        <a href="http://www.bibsonomy.org/user/brightbyte/READ">READ</a>
        <a href="http://www.bibsonomy.org/user/brightbyte/WW-MUST">WW-MUST</a>
        <a href="http://www.bibsonomy.org/user/brightbyte/nlp">nlp</a>
        <a href="http://www.bibsonomy.org/user/brightbyte/relatedness">relatedness</a>
        <a href="http://www.bibsonomy.org/user/brightbyte/semantic">semantic</a>
        <a href="http://www.bibsonomy.org/user/brightbyte/wikipedia">wikipedia</a>
        </span>
        

          by <a href="http://www.bibsonomy.org/user/brightbyte">brightbyte</a> 
        
        
        on 2008-02-10 02:19:38 </span></div>
	    ]]>
    </content:encoded>
    <taxo:topics>
      <rdf:Bag>
        <rdf:li rdf:resource="http://www.bibsonomy.org/tag/READ" />
        <rdf:li rdf:resource="http://www.bibsonomy.org/tag/WW-MUST" />
        <rdf:li rdf:resource="http://www.bibsonomy.org/tag/nlp" />
        <rdf:li rdf:resource="http://www.bibsonomy.org/tag/relatedness" />
        <rdf:li rdf:resource="http://www.bibsonomy.org/tag/semantic" />
        <rdf:li rdf:resource="http://www.bibsonomy.org/tag/wikipedia" />
        </rdf:Bag>
    </taxo:topics>
    <burst:publication>
      <swrc:InProceedings>
        <swrc:booktitle>Proceedings of the TextGraphs-2 Workshop (NAACL-HLT)</swrc:booktitle><swrc:school><swrc:University swrc:name="Darmstadt University of Technology"/></swrc:school><swrc:title>Analysis of the Wikipedia Category Graph for NLP Applications</swrc:title><swrc:year>2007</swrc:year><swrc:keywords>READ WW-MUST nlp relatedness semantic wikipedia </swrc:keywords><swrc:date>2008-02-10 02:19:38.0</swrc:date><swrc:abstract>In this paper, we discuss two graphs in
Wikipedia (i) the article graph, and (ii) the category graph. We perform a graph-theoretic analysis of the category graph, and show that it is a scale-free, small world graph like other well-known lexical semantic networks. We substantiate our ﬁndings by transferring semantic relatedness algorithms deﬁned on WordNet to the Wikipedia category graph. To assess the usefulness of the category graph as an NLP resource, we analyze its coverage and the performance of the transferred semantic relatedness algorithms.</swrc:abstract><swrc:hasExtraField>
    <swrc:Field swrc:key="id" swrc:value="2348605"/>
  </swrc:hasExtraField>
<swrc:hasExtraField>
    <swrc:Field swrc:key="priority" swrc:value="3"/>
  </swrc:hasExtraField>
<swrc:author>
  <rdf:Seq>
  <rdf:_1><swrc:Person swrc:name="Torsten Zesch" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Iryna Gurevych" /></rdf:_2>
  </rdf:Seq>
</swrc:author>

<swrc:editor>
  <rdf:Seq>
  </rdf:Seq>
</swrc:editor></swrc:InProceedings>  
    </burst:publication>
  </item>
<item rdf:about="http://www.bibsonomy.org/uri/bibtex/27a756516b9b4e78a1cfab756be22c584/ngrandy">
    <title>Analyzing and Accessing Wikipedia as a Lexical Semantic Resource</title>
    <link>http://www.bibsonomy.org/bibtex/27a756516b9b4e78a1cfab756be22c584/ngrandy</link>
    <dc:creator>ngrandy</dc:creator>
    <dc:date>2007-09-06T21:45:31+02:00</dc:date>
    <dc:subject>imported jwpl </dc:subject>
    <content:encoded>
	    <![CDATA[
        <div class="block">
	      <div class="bmtitle">

  <a href="http://www.bibsonomy.org/bibtex/27a756516b9b4e78a1cfab756be22c584/ngrandy">Analyzing and Accessing Wikipedia as a Lexical Semantic Resource</a>
</div>
<div class="bmdesc">
  <span style="color:#555555;"> 
    Torsten <a href="http://www.bibsonomy.org/author/Zesch">Zesch</a>         	     	 
        	  and Iryna <a href="http://www.bibsonomy.org/author/Gurevych">Gurevych</a>         	     	 
        	  and Max <a href="http://www.bibsonomy.org/author/M%7B%5C%22u%7Dhlh%7B%5C%22a%7Duser">M{\&#034;u}hlh{\&#034;a}user</a>         	     	 
        	 </span> 
  <em>Data Structures for Linguistic Resources and Applications</em>
    197--205
  (2007)
</div>
<span class="bmmeta">
  
  
        to
        <span class="bmtags">
        <a href="http://www.bibsonomy.org/user/ngrandy/imported">imported</a>
        <a href="http://www.bibsonomy.org/user/ngrandy/jwpl">jwpl</a>
        </span>
        

          by <a href="http://www.bibsonomy.org/user/ngrandy">ngrandy</a> 
        
        
        on 2007-09-06 21:45:31 </span></div>
	    ]]>
    </content:encoded>
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    <burst:publication>
      <swrc:InCollection>
        <swrc:address>Tuebingen, Germany</swrc:address><swrc:booktitle>Data Structures for Linguistic Resources and Applications</swrc:booktitle><swrc:pages>197--205</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Gunter Narr, T{\&#034;u}bingen"/></swrc:publisher><swrc:title>{Analyzing and Accessing Wikipedia as a Lexical Semantic Resource}</swrc:title><swrc:year>2007</swrc:year><swrc:keywords>imported jwpl </swrc:keywords><swrc:date>2007-09-06 21:45:31.0</swrc:date><swrc:author>
  <rdf:Seq>
  <rdf:_1><swrc:Person swrc:name="Torsten Zesch" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Iryna Gurevych" /></rdf:_2>
  <rdf:_3><swrc:Person swrc:name="Max M{\&#034;u}hlh{\&#034;a}user" /></rdf:_3>
  </rdf:Seq>
</swrc:author>

<swrc:editor>
  <rdf:Seq>
  <rdf:_1><swrc:Person swrc:name="Georg Rehm" /></rdf:_1>
  <rdf:_2><swrc:Person swrc:name="Andreas Witt" /></rdf:_2>
  <rdf:_3><swrc:Person swrc:name="Lothar Lemnitzer" /></rdf:_3>
  </rdf:Seq>
</swrc:editor></swrc:InCollection>  
    </burst:publication>
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