Presentation 2011-01-28
Natural Language Search Based on Subdividing Objects of Search Using Predicate Argument Structure Analysis
Hiroyuki YAMADA, Rafal Rzepka, Kenji ARAKI,
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Abstract(in English) In this paper we describe our system for retrieving texts using predicate argument structure analysis for queries in natural language. A dependency relation included in a query decides a word score, which is retrieved by defining "retrieval subject" that further becomes the main clue for retrieving sentences using a word classified by predicate argument structure analysis tool SynCha as "-ga case". As a result, the problem of biased word score can be corrected. In this research we target judicial precedents of traffic accidents and use "Oshiete! goo" online QA community entries for experiments.
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Keyword(in English) Natural language query / Information Retrieval / judicial precedents extraction
Paper # NLC2010-41
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Committee NLC
Conference Date 2011/1/20(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Natural Language Search Based on Subdividing Objects of Search Using Predicate Argument Structure Analysis
Sub Title (in English)
Keyword(1) Natural language query
Keyword(2) Information Retrieval
Keyword(3) judicial precedents extraction
1st Author's Name Hiroyuki YAMADA
1st Author's Affiliation Graduate School of Information Scienceand Technology, Hokkaido University()
2nd Author's Name Rafal Rzepka
2nd Author's Affiliation Graduate School of Information Scienceand Technology, Hokkaido University
3rd Author's Name Kenji ARAKI
3rd Author's Affiliation Graduate School of Information Scienceand Technology, Hokkaido University
Date 2011-01-28
Paper # NLC2010-41
Volume (vol) vol.110
Number (no) 400
Page pp.pp.-
#Pages 6
Date of Issue