Experiments in Japanese text retrieval and routing using the NEAT system

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

研究成果: Conference article

12 引用 (Scopus)


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.

ジャーナルSIGIR Forum (ACM Special Interest Group on Information Retrieval)
出版物ステータスPublished - 1998 12 1
イベントProceedings of the 1998 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'98) - Melbourne, Vic., Aust
継続期間: 1998 8 241998 8 28

ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture

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