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

Takuya Ogura, Masafumi Hagiwara

Research output: Contribution to conferencePaperpeer-review

Abstract

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.

Original languageEnglish
Pages171-176
Number of pages6
Publication statusPublished - 2010 Dec 1
EventJoint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010 - Okayama, Japan
Duration: 2010 Dec 82010 Dec 12

Conference

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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