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: Article

12 引用 (Scopus)

抄録

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.

元の言語English
ページ(範囲)197-205
ページ数9
ジャーナルSIGIR Forum (ACM Special Interest Group on Information Retrieval)
出版物ステータスPublished - 1998
外部発表Yes

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

ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture

これを引用

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