Implementing Commonsense Reasoning Via Semantic Skeletons for Answering Complex Questions

Boris Galitsky, Birbeck College, University of Longon

We build the knowledge representation machinery for answering complex questions in poorly formalized and logically complex domains. Answers are annotated with deductively linked logical expressions (semantic skeletons), which are to be matched with formal representations for questions. Technique of semantic skeletons is a further development of our semantic header-based approach to question answering. The question-answering technique has been implemented for the financial and legal domains, which are rather sophisticated on one hand and requires fairly precise answers on the other hand.


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