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Semantic Skeleton Thesauri for Question Answering Bots

  • Boris Galitsky
Chapter

Abstract

We build a question–answering (Q/A) chatbot component 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. We utilize a logic programming approach so that the search for an answer is implemented as determining clauses (associated with this answer) from which the formal representation of a question can be deduced. This Q/A 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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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Boris Galitsky
    • 1
  1. 1.Oracle (United States)San JoseUSA

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