Fuzzy constraint based answer validation

Authors:
Steven Schockaert;Martine De Cock;Etienne E. Kerre
Affiliations:
Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Research Unit, Ghent University, Gent, Belgium;Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Research Unit, Ghent University, Gent, Belgium;Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Research Unit, Ghent University, Gent, Belgium
Venue:
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Year:
2005

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Abstract

Answer validation is an important component of any question answering system. In this paper we show how the formalism of prioritized fuzzy constraint satisfaction allows to unify and generalize some common validation strategies. Moreover, answer candidates are represented by fuzzy sets, which allows to handle imprecise answers.