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 journalConference article

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 Dec 1
EventProceedings of the 1998 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'98) - Melbourne, Vic., Aust
Duration: 1998 Aug 241998 Aug 28

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ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture

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