CONCEPT DISAMBIGUATION FOR NATURAL LANGUAGE PROCESSING

摘要

A method for concept disambiguation for natural language processing includes receiving a message from a user, identifying an ambiguous concept in the message, determining a plurality of concept candidates corresponding to the ambiguous concept, determining, for each of the plurality of concept candidates, a respective similarity score based on user-specific concept metrics corresponding to the user. The method further includes ranking the plurality of concept candidates based on the respective similarity scores, and determining that the ambiguous concept corresponds to a top-ranked concept candidate of the ranked plurality of concept candidates.