<?xml version="1.0" encoding="UTF-8"?>
<volume id="W00">
 <paper id="1100">
 <title>ACL-2000 Workshop on Recent Advances in Natural Language Processing and Information Retrieval</title>
</paper>

 <paper id="1101">
 <title>Adapting a synonym database to specific domains</title>
 <author>Davide Turcato</author>
 <author>Fred Popowich</author>
 <author>Janine Toole</author>
 <author>Dan Fass</author>
 <author>Devlan Nicholson</author>
 <author>Gordon Tisher</author>
</paper>

 <paper id="1102">
 <title>Exploiting Lexical Expansions and Boolean Compositions for Web Querying</title>
 <author>Bernardo Magnini</author>
 <author>Roberto Prevete</author>
</paper>


 <paper id="1103">
 <title>Use of Dependency Tree Structures for the Microcontext Extraction</title>
 <author>Martin Holub</author>
 <author>Alena Bohmova</author>
</paper>


 <paper id="1104">
 <title>Semantic Indexing using WordNet Senses</title>
 <author>Rada Mihalcea</author>
 <author>Dan Moldovan</author>
</paper>


 <paper id="1105">
 <title>Discriminative Power and Retrieval Effectiveness of Phrasal Indexing Terms</title>
 <author>Sumio Fujita</author>
</paper>


 <paper id="1106">
 <title>Corpus-Based Learning of Compound Noun Indexing</title>
 <author>Byung-Kwak</author>
 <author>Jee-Hyub Kim</author>
 <author>Geunbae Lee</author>
 <author>Jung Yun Seo</author>
</paper>

 <paper id="1107">
 <title>REXTOR: A System for Generating Relations from Natural Language</title>
 <author>Boris Katz</author>
 <author>Jimmy Lin</author>
</paper>


 <paper id="1108">
 <title>A Text Categorization Based on a Summarization Extraction</title>
 <author>Sue J. Ker</author>
 <author>Jen-Nan Chen</author>
</paper>


 <paper id="1109">
 <title>From Information Retrieval to Information Extraction</title>
 <author>David Milward</author>
 <author>James Thomas</author>
</paper>


 <paper id="1110">
 <title>Automatic summarization of search engine hit lists</title>
 <author>Dragomir R. Radev</author>
 <author>Weiguo Fan</author>
</paper>

 <paper id="1111"> 
 <title>Author Index</title>
</paper>

</volume>
