Experiments in Japanese text retrieval and routing using the NEAT system

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

doi:10.1145/290941.290992

Experiments in Japanese text retrieval and routing using the NEAT system

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

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

6 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 language	English
Pages (from-to)	197-205
Number of pages	9
Journal	SIGIR Forum (ACM Special Interest Group on Information Retrieval)
DOIs	https://doi.org/10.1145/290941.290992
Publication status	Published - 1998
Externally published	Yes
Event	Proceedings of the 1998 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'98) - Melbourne, Vic., Aust Duration: 1998 Aug 24 → 1998 Aug 28

ASJC Scopus subject areas

Management Information Systems
Hardware and Architecture

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@article{4554f244aa9642a2817d060962aa2787,

title = "Experiments in Japanese text retrieval and routing using the NEAT system",

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.",

author = "Jones, {Gareth J.F.} and Tetsuya Sakai and Masahiro Kajiura and Kazuo Sumita",

year = "1998",

doi = "10.1145/290941.290992",

language = "English",

pages = "197--205",

journal = "SIGIR Forum (ACM Special Interest Group on Information Retrieval)",

issn = "0163-5840",

publisher = "Association for Computing Machinery (ACM)",

note = "Proceedings of the 1998 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'98) ; Conference date: 24-08-1998 Through 28-08-1998",

}

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T1 - Experiments in Japanese text retrieval and routing using the NEAT system

AU - Jones, Gareth J.F.

AU - Sakai, Tetsuya

AU - Kajiura, Masahiro

AU - Sumita, Kazuo

PY - 1998

Y1 - 1998

N2 - 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.

AB - 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.

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DO - 10.1145/290941.290992

M3 - Conference article

AN - SCOPUS:0032275564

SN - 0163-5840

SP - 197

EP - 205

JO - SIGIR Forum (ACM Special Interest Group on Information Retrieval)

JF - SIGIR Forum (ACM Special Interest Group on Information Retrieval)

T2 - Proceedings of the 1998 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'98)

Y2 - 24 August 1998 through 28 August 1998

ER -

Experiments in Japanese text retrieval and routing using the NEAT system

Abstract

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