Experiments in Japanese text retrieval and routing using the NEAT system

Gareth J F Jones, Tetsuya Sakai, Masahiro Kajiura, Kazuo Sumita

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

This paper describes a structured investigation into the retrieval of Japanese text. The study includes a comparison of different indexing strategies for documents and queries, investigation of term weighting strategies principally derived for use with English texts, and the application of relevance feedback for query expansion. Results on the standard BMIR-J1 and BMIR-J2 Japanese retrieval collections indicate that term weighting transfers well to Japanese text. Indexing using dictionary based morphological analysis and character strings are both shown to be individually effective, but marginally better in combination. We also demonstrate that relevance feedback can be used effectively for query expansion in Japanese routing applications.

Original languageEnglish
Pages (from-to)197-205
Number of pages9
JournalSIGIR Forum (ACM Special Interest Group on Information Retrieval)
Publication statusPublished - 1998
Externally publishedYes

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Glossaries
Experiments
Routing
Text retrieval
Experiment
Term weighting
Relevance feedback
Query expansion
Indexing
Query

ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture

Cite this

Experiments in Japanese text retrieval and routing using the NEAT system. / Jones, Gareth J F; Sakai, Tetsuya; Kajiura, Masahiro; Sumita, Kazuo.

In: SIGIR Forum (ACM Special Interest Group on Information Retrieval), 1998, p. 197-205.

Research output: Contribution to journalArticle

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