Presentation 2002/10/18
A QA Document Search System for HelpDesk
Motoyuki Itoh,
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Abstract(in English) In the field of help-desk business, the need for an accurate QA document retrieval system is intensively increasing. Many QA document retrieval systems have been realized by simply applying conventional full-text search engines designed for general search purposes. But the output of those systems contains not a few irrelevant documents less concerned with the content of input query, because they merely treat input query sentences as a set of keywords for search and don't consider with the intentional aspects or semantic content of the sentences. To reduce this noise-jamming problem, we are now developing a new search method that uses phrase-level semantic constraints derived from the input query to select relevant documents to the query. In this paper, we described the search method and the experimental system based on it.
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Keyword(in English) Natural Language Information Retrieval / FAQ Retrieval / Document Retrieval / Natural Language Processing
Paper # TL2002-26
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Committee TL
Conference Date 2002/10/18(1days)
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Paper Information
Registration To Thought and Language (TL)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A QA Document Search System for HelpDesk
Sub Title (in English)
Keyword(1) Natural Language Information Retrieval
Keyword(2) FAQ Retrieval
Keyword(3) Document Retrieval
Keyword(4) Natural Language Processing
1st Author's Name Motoyuki Itoh
1st Author's Affiliation CSK Corporation()
Date 2002/10/18
Paper # TL2002-26
Volume (vol) vol.102
Number (no) 412
Page pp.pp.-
#Pages 6
Date of Issue