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) |
| Publication status | Published - 1998 |
| Externally published | Yes |
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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 journal › Article
}
TY - JOUR
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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M3 - Article
SP - 197
EP - 205
JO - SIGIR Forum (ACM Special Interest Group on Information Retrieval)
JF - SIGIR Forum (ACM Special Interest Group on Information Retrieval)
SN - 0163-5840
ER -