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Domain Representation Using Possibility Theory: An Exploratory Study

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3 Author(s)
Khoury, R. ; Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON ; Karray, F. ; Kamel, M.S.

This study explores a new domain representation method for natural language processing based on an application of possibility theory. In our method, domain-specific information is extracted from natural language documents using a mathematical process based on Rieger's notion of semantic distances, and represented in the form of possibility distributions. We implement the distributions in the context of a possibilistic domain classifier, which is trained using the SchoolNet corpus.

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Fuzzy Systems, IEEE Transactions on  (Volume:16 ,  Issue: 6 )