Presentation 2000/1/13
Method of Concept-Base Construction for Commonsense Judgement
Kazuhide Kojima, Hirokazu Watabe, Tsukasa Kawaoka,
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Abstract(in English) It is thought that the main elements of commonsense judgement like a human being are a concept-base and the association mechanism based on the association between concepts. It is expected that a structure of the concept-base is as simple as possible for ease concept-base expansion and correction. In the current conept-base concepts are defined by attributes and its weights which are decided by frequency. This paper proposes the method deciding the weight of attributes with clear relation types between concepts. The relation information deciding the weight of attributes is mechanically made from a language dictionary. Measuring the degree of association which uses the concept-base is used in evaluation the proposed method deciding the weight of attributes. It is shown that the degree of association calculated by the concept-base whose weights decided the proposed method is closer to human judge.
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Keyword(in English) commonsense judgment / automated construction / language dictionary / concept-base / degree of association
Paper # AI99-83
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Conference Information
Committee AI
Conference Date 2000/1/13(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Method of Concept-Base Construction for Commonsense Judgement
Sub Title (in English)
Keyword(1) commonsense judgment
Keyword(2) automated construction
Keyword(3) language dictionary
Keyword(4) concept-base
Keyword(5) degree of association
1st Author's Name Kazuhide Kojima
1st Author's Affiliation Graduate School of Engineering, Doshisha University()
2nd Author's Name Hirokazu Watabe
2nd Author's Affiliation Graduate School of Engineering, Doshisha University
3rd Author's Name Tsukasa Kawaoka
3rd Author's Affiliation Graduate School of Engineering, Doshisha University
Date 2000/1/13
Paper # AI99-83
Volume (vol) vol.99
Number (no) 534
Page pp.pp.-
#Pages 8
Date of Issue