Learning from Texts - Aterminological
نویسندگان
چکیده
We introduce a methodology for concept learning from texts that relies upon second-order reasoning about statements expressed in a ((rst-order) terminological representation language. This metareasoning approach allows for quality-based evaluation and selection of alternative concept hypotheses. Abstract We introduce a methodology for concept learning from texts that relies upon second-order reasoning about statements expressed in a ((rst-order) terminological representation language. This metareasoning approach allows for quality-based evaluation and selection of alternative concept hypotheses.
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