A Learner with a Sense for Quality
نویسندگان
چکیده
A text understanding system with learning capabilities is presented. New concepts are acquired by incorporating two kinds of evidence – knowledge about linguistic constructions in which unknown lexical items occur and knowledge about structural patterns in ontologies such that new concept descriptions can be compared with prior knowledge. On the basis of the quality of evidence gathered this way concept hypotheses are generated, ranked according to plausibility, and the most credible ones are selected for assimilation into the domain knowledge base.
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