Presentation 2001/7/10
Evaluation of a Method for Automatic Acquisition of Semantic Rules from a Bracketed Corpus using Inductive Learning
Hideyuki Shibuki, Kenji Araki, Koji Tochinai,
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Abstract(in English) In this paper, we propose a method for automatic acquisition of semantic rules from a bracketed corpus using inductive learning, and evaluate a system based on this method. It is necessary for advanced natural language processing to use semantic information. In previous methods for automatic acquisition of semantic information, they require many patterns for detecting and deciding information, or need other semantic information such as deep cases, thesaurus, and so on. Our method acquires semantic rules, which include deep cases and thesaurus, from only sentences analyzed syntactically by unsupervised inductive learning. Our system learned from 200 sentences in the EDR corpus. As a result, a 35.3% of accuracy rate was achieved in 50 sentences as open data using the acquired semantic rules.
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Keyword(in English) natural language processing / inductive learning / semantic analysis / deep case / thesaurus
Paper # NLC2001-32
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Committee NLC
Conference Date 2001/7/10(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) Evaluation of a Method for Automatic Acquisition of Semantic Rules from a Bracketed Corpus using Inductive Learning
Sub Title (in English)
Keyword(1) natural language processing
Keyword(2) inductive learning
Keyword(3) semantic analysis
Keyword(4) deep case
Keyword(5) thesaurus
1st Author's Name Hideyuki Shibuki
1st Author's Affiliation Graduate School of Engineering, Hokkaido University()
2nd Author's Name Kenji Araki
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Koji Tochinai
3rd Author's Affiliation Graduate School of Engineering, Hokkaido University
Date 2001/7/10
Paper # NLC2001-32
Volume (vol) vol.101
Number (no) 190
Page pp.pp.-
#Pages 8
Date of Issue