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IRAL
2003
ACM

Question-Answering based on virtually integrated lexical knowledge base

11 years 6 months ago
Question-Answering based on virtually integrated lexical knowledge base
This paper proposes an algorithm for causality inference based on a set of lexical knowledge bases that contain information about such items as event role, is-a hierarchy, relevant relation, antonymy, and other features. These lexical knowledge bases have mainly made use of lexical features and symbols in HowNet. Several types of questions are experimented to test the effectiveness of the algorithm here proposed. Particularly in this paper, the question form of “why” is dealt with to show how causality inference works.
Key-Sun Choi, Jae-Ho Kim, Masaru Miyazaki, Jun Got
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where IRAL
Authors Key-Sun Choi, Jae-Ho Kim, Masaru Miyazaki, Jun Goto, Yeun-Bae Kim
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