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    <title>Natural Language Processing for Information Retrieval</title>
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    <dc:creator>pprett</dc:creator>
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  <a href="http://www.bibsonomy.org/bibtex/207de9883bafc59803511886428838b64/pprett">Natural Language Processing for Information Retrieval</a>
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  <span style="color:#555555;"> 
    David D. <a href="http://www.bibsonomy.org/author/Lewis">Lewis</a>         	     	 
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  <em>Communications of the ACM</em>
      <b>39</b>
      92--101
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        <swrc:journal>Communications of the ACM</swrc:journal><swrc:number>1</swrc:number><swrc:pages>92--101</swrc:pages><swrc:title>Natural Language Processing for Information Retrieval</swrc:title><swrc:volume>39</swrc:volume><swrc:year>1996</swrc:year><swrc:keywords>information, nlp, retrieval </swrc:keywords><swrc:date>2008-06-17 16:01:02.0</swrc:date><swrc:abstract>The paper summarizes the essential properties of document retrieval and reviews both conventional practice and research findings, the latter suggesting that simple statistical techniques can be effective. It then considers the new opportunities and challenges presented by the ability to search full text directly (rather than e.g. titles and abstracts), and suggests appropriate approaches to doing this, with a focus on the role of natural language processing. The paper also comments on possible...</swrc:abstract><swrc:hasExtraField>
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  <a href="http://www.bibsonomy.org/bibtex/28c51990b0e0d34931ba3497763ce7d96/msn">Natural language processing for information retrieval</a>
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    David D. <a href="http://www.bibsonomy.org/author/Lewis">Lewis</a>         	     	 
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  <em>Commun. ACM</em>
      <b>39</b>
      92-101
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    <dc:creator>diego_ma</dc:creator>
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  <a href="http://www.bibsonomy.org/bibtex/2e94b9a36f2a24cf671697feeb2748de6/diego_ma">Natural Language Processing for Information Retrieval</a>
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<div class="bmdesc">
  <span style="color:#555555;"> 
    David D. <a href="http://www.bibsonomy.org/author/Lewis">Lewis</a>         	     	 
        	  and Karen {Sparck <a href="http://www.bibsonomy.org/author/Jones%7D">Jones}</a>         	     	 
        	 </span> 
  <em>Communications of the ACM</em>
      <b>39</b>
      92-101
  (1996)
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        to
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        <a href="http://www.bibsonomy.org/user/diego_ma/NLP">NLP</a>
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          by <a href="http://www.bibsonomy.org/user/diego_ma">diego_ma</a> 
        
        
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        <swrc:journal>Communications of the ACM</swrc:journal><swrc:month>January</swrc:month><swrc:number>1</swrc:number><swrc:pages>92-101</swrc:pages><swrc:title>Natural Language Processing for Information Retrieval</swrc:title><swrc:volume>39</swrc:volume><swrc:year>1996</swrc:year><swrc:keywords>NLP inf_retrieval </swrc:keywords><swrc:date>2007-12-14 02:42:22.0</swrc:date><swrc:abstract>The need for automatic \emph{text retrieval} (TR), also known as \emph{document retrieval} (DR) has caught the attention of researchers in natural language processing (NLP). This article explores DR&#039;s key properties, summarizes past experience in the field, and reviews various specific NLP research strategies targeting this form of information processing\ldots</swrc:abstract><swrc:author>
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  <a href="http://www.bibsonomy.org/bibtex/27135202e61a8fb7f911c2ec886c34874/dblp">Natural Language Processing for Information Retrieval.</a>
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<div class="bmdesc">
  <span style="color:#555555;"> 
    David D. <a href="http://www.bibsonomy.org/author/Lewis">Lewis</a>         	     	 
        	  and Karen Sparck <a href="http://www.bibsonomy.org/author/Jones">Jones</a>         	     	 
        	 </span> 
  <em>Commun. ACM</em>
      <b>39</b>
      92-101
  (1996)
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