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Using Answer Set Programming for Commonsense Reasoning in the Winograd Schema Challenge

Published online by Cambridge University Press:  20 September 2019

ARPIT SHARMA Open the ORCID record for ARPIT SHARMA [Opens in a new window]
ARPIT SHARMA*
Affiliation:
Arizona State University, Tempe, USA (e-mail: asharm73@asu.edu)
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Abstract

The Winograd Schema Challenge (WSC) is a natural language understanding task proposed as an alternative to the Turing test in 2011. In this work we attempt to solve WSC problems by reasoning with additional knowledge. By using an approach built on top of graph-subgraph isomorphism encoded using Answer Set Programming (ASP) we were able to handle 240 out of 291 WSC problems. The ASP encoding allows us to add additional constraints in an elaboration tolerant manner. In the process we present a graph based representation of WSC problems as well as relevant commonsense knowledge.

Keywords

Answer Set ProgrammingWinograd Schema ChallengeCommonsense ReasoningGraph-Subgraph Isomorphism
Type
Original Article
Information
Theory and Practice of Logic Programming , Volume 19 , Special Issue 5-6: 35th International Conference on Logic Programming , September 2019 , pp. 1021 - 1037
Copyright
© Cambridge University Press 2019 

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