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Rertrieval of Simplified Causal Knowledge in Text and its Application
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- SATO Hiroshi
- NTT Communication Science Laboratories
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- KASAHARA Kaname
- NTT Communication Science Laboratories
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- MATSUZAWA Kazumitsu
- NTT Communication Science Laboratories
Bibliographic Information
- Other Title
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- テキスト上の表層的因果知識の獲得とその応用
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Description
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.
Journal
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- Technical report of IEICE. Thought and language
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Technical report of IEICE. Thought and language 98 (640), 27-34, 1999-03-05
The Institute of Electronics, Information and Communication Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1574231877181630080
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- NII Article ID
- 110003314336
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- NII Book ID
- AN10449078
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- Text Lang
- ja
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- Data Source
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- CiNii Articles