A neural network type knowledge extraction method fromweb and its application to a question-answering system

Takuya Ogura, Masafumi Hagiwara

研究成果: Paper査読

抄録

A neural network type knowledge extraction method from Web and its application to a question-answering system are proposed. In the proposed method, word groups of similar concepts locate in the same layer in the network. The idea is based on neuroscientific findings of Damasio's [9] and a cognitive scientific theory of McClelland's [10]. We carried out two kinds of experiments for the implemented question-answering system and obtained satisfactory results.

本文言語English
ページ171-176
ページ数6
出版ステータスPublished - 2010 12 1
イベントJoint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010 - Okayama, Japan
継続期間: 2010 12 82010 12 12

Conference

ConferenceJoint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010
国/地域Japan
CityOkayama
Period10/12/810/12/12

ASJC Scopus subject areas

  • 人工知能
  • 情報システム

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