Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
WordNet: a lexical database for English
Communications of the ACM
Communications of the ACM
CYC, WordNet, and EDR: critiques and responses
Communications of the ACM
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Lexical chains for question answering
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Automatic Acquisition of Qualia Structure from Corpus Data
IEICE - Transactions on Information and Systems
RDF schema based ubiquitous healthcare service composition
EC-Web'05 Proceedings of the 6th international conference on E-Commerce and Web Technologies
Knowledge-Based RDF specification for ubiquitous healthcare services
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
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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.