Presentation | 1999/3/5 Rertrieval of Simplified Causal Knowledge in Text and its Application Hiroshi SATO, Kaname KASAHARA, Kazumitsu MATSUZAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A person has causal knowledge, and thinks before acting, "What will happen after this event?". To make a computer infer information as a person does, we are carrying out reserch on methods for automatically acquire, represent and apply causal knowledge. A conventional causal knowledge database must be manually constructed or limited in its domain because of its potential hugeness and deepness. However, Simplified Causal Knowledge, which we proposed in a previous paper, allows automatic retrieval from ordinary texts. In this paper, we evaluate this method with a large-scale text corpus. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | causal knowledge / common sense / knowledge acquisition / knowledge representation / dialogue / text corpus |
Paper # | TL98-23 |
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Committee | TL |
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Conference Date | 1999/3/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Thought and Language (TL) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Rertrieval of Simplified Causal Knowledge in Text and its Application |
Sub Title (in English) | |
Keyword(1) | causal knowledge |
Keyword(2) | common sense |
Keyword(3) | knowledge acquisition |
Keyword(4) | knowledge representation |
Keyword(5) | dialogue |
Keyword(6) | text corpus |
1st Author's Name | Hiroshi SATO |
1st Author's Affiliation | NTT Communication Science Laboratories() |
2nd Author's Name | Kaname KASAHARA |
2nd Author's Affiliation | NTT Communication Science Laboratories |
3rd Author's Name | Kazumitsu MATSUZAWA |
3rd Author's Affiliation | NTT Communication Science Laboratories |
Date | 1999/3/5 |
Paper # | TL98-23 |
Volume (vol) | vol.98 |
Number (no) | 640 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |