tailieunhanh - Báo cáo khoa học: "Complementing Word Net with Roget's and Corpus-based Thesauri for Information Retrieval"

This paper proposes a method to overcome the drawbacks of WordNet when applied to information retrieval by complementing it with Roget's thesaurus and corpus-derived thesauri. Words and relations which are not included in WordNet can be found in the corpus-derived thesauri. Effects of polysemy can be minimized with weighting m e t h o d considering all query terms and all of the thesauri. Experimental results show that our method enhances information retrieval performance significantly. expansion (Voorhees, 1994; Smeaton and Berrut, 1995), computing lexical cohesion (Stairmand, 1997), word sense disambiguation (Voorhees, 1993), and so on, but the results have. | Proceedings of EACL 99 Complementing WordNet with Roget s and Corpus-based Thesauri for Information Retrieval Rila Mandala Takenobu Tokunaga and Hozumi Tanaka Department of Computer Science Tokyo Institute of Technology 2-12-1 Oookayama Meguro-Ku Tokyo 152-8522 Japan rila take tanaka @ Abstract This paper proposes a method to overcome the drawbacks of WordNet when applied to information retrieval by complementing it with Roget s thesaurus and corpus-derived thesauri. Words and relations which are not included in WordNet can be found in the corpus-derived thesauri. Effects of polysemy can be minimized with weighting method considering all query terms and all of the thesauri. Experimental results show that our method enhances information retrieval performance significantly. 1 Introduction Information retrieval IR systems can be viewed basically as a form of comparison between documents and queries. In traditional IR methods this comparison is done based on the use of common index terms in the document and the query Salton and McGill 1983 . The drawback of such methods is that if semantically relevant documents do not contain the same terms as the query then they will be judged irrelevant by the IR system. This occurs because the vocabulary that the user uses is often not the same as the one used in documents Blair and Maron 1985 . To avoid the above problem several researchers have suggested the addition of terms which have similar or related meaning to the query increasing the chances of matching words in relevant documents. This method is called query expansion. A thesaurus contains information pertaining to paradigmatic semantic relations such as term synonymy hypernymy and hyponymy Aitchison and Gilchrist 1987 . It is thus natural to use a thesaurus as a source for query expansion. Many researchers have used WordNet Miller 1990 in information retrieval as a tool for query expansion Voorhees 1994 Smeaton and Berrut 1995 computing lexical cohesion .

• Báo cáo khoa học
• Complementing Word Net with Rogets
• Corpus based Thesauri
• Information Retrieval
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln