Presentation | 1998/1/22 Grammatical Inference for Concept Acquisition from Documents. Kenji Hanakawa, Hideaki Takeda, Toyoaki Nishida, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The purpose of this study is to acquire knowledge from large scale natural language documents. There are two types of knowledge in the documents. One is explicitly represented knowledge which is acquired using natural language processing. The other is implicit constraint. In this paper, how to acquire implicit constraint using grammatical inference from the documents is described. We propose a grammatical inference system which uses inference rules based on logic, and show that the system can learn easy pattern of character lists. We also discuss its application to knowledge acquisition from real documents. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | grammatical inference / knowledge acquisition / logic programming / concept learning |
Paper # | KBSE97-26 |
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Committee | KBSE |
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Conference Date | 1998/1/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Knowledge-Based Software Engineering (KBSE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Grammatical Inference for Concept Acquisition from Documents. |
Sub Title (in English) | |
Keyword(1) | grammatical inference |
Keyword(2) | knowledge acquisition |
Keyword(3) | logic programming |
Keyword(4) | concept learning |
1st Author's Name | Kenji Hanakawa |
1st Author's Affiliation | Department of Electrical Engineering and Computer Science, Osaka Prefectural College of Technology() |
2nd Author's Name | Hideaki Takeda |
2nd Author's Affiliation | Graduate School of Information Science and Technology, Nara Institute of Science and Technology |
3rd Author's Name | Toyoaki Nishida |
3rd Author's Affiliation | Graduate School of Information Science and Technology, Nara Institute of Science and Technology |
Date | 1998/1/22 |
Paper # | KBSE97-26 |
Volume (vol) | vol.97 |
Number (no) | 502 |
Page | pp.pp.- |
#Pages | 6 |
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