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Selecting effective index terms using a decision tree

Published online by Cambridge University Press:  21 August 2002

TOKUNAGA TAKENOBU ,
KIMURA KENJI ,
OGIBAYASHI HIRONORI  and
TANAKA HOZUMI
TOKUNAGA TAKENOBU
Affiliation:
Department of Computer Science, Tokyo Institute of Technology, Tokyo, Japan
KIMURA KENJI
Affiliation:
Department of Computer Science, Tokyo Institute of Technology, Tokyo, Japan
OGIBAYASHI HIRONORI
Affiliation:
Department of Computer Science, Tokyo Institute of Technology, Tokyo, Japan
TANAKA HOZUMI
Affiliation:
Department of Computer Science, Tokyo Institute of Technology, Tokyo, Japan
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Abstract

This paper explores the effectiveness of index terms more complex than the single words used in conventional information retrieval systems. Retrieval is done in two phases: in the first, a conventional retrieval method (the Okapi system) is used; in the second, complex index terms such as syntactic relations and single words with part-of-speech information are introduced to rerank the results of the first phase. We evaluated the effectiveness of the different types of index terms through experiments using the TREC-7 test collection and 50 queries. The retrieval effectiveness was improved for 32 out of 50 queries. Based on this investigation, we then introduce a method to select effective index terms by using a decision tree. Further experiments with the same test collection showed that retrieval effectiveness was improved in 25 of the 50 queries.

Type
Research Article
Information
Natural Language Engineering , Volume 8 , Issue 2-3 , June 2002 , pp. 193 - 207
Copyright
2002 Cambridge University Press

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