Synthesizing a large concept hierarchy from French hyperonyms
نویسنده
چکیده
The KAI,II'SOS prototype we have developed at the IBM Paris Scientific Center is able to analyze texts written in l;reneh and to produce a semantic representalion of these texts expressed as a set of inter-related Conceptual Graphs [6, 1]. It uses a semantic lexicon which contains, for each word to be defined, one or more Conceptual Graphs corresponding to one or more meanings of the word. The KAI,IPSOS questkm/answefing system analyzes a Natural l.anguage query, translates it into Conceptual Graphs, performs pattern matching and deduction on these text graphs to select the answer, and finally generates a Natural Iangmage answer fiom the selected answer graphs.
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