An Approach to Solve Winograd Schema Challenge Using Automatically Extracted Commonsense Knowledge

Arpit Sharma, Nguyen Ha Vo, Shruti Gaur, Chitta Baral

Abstract: The Winograd Schema Challenge has recently been proposed as an alternative to the Turing test. A Winograd Schema consists of a sentence and question pair such that the answer to the question depends on the resolution of a definite pronoun in the sentence. The answer is fairly intuitive for humans but is difficult for machines because it requires commonsense knowledge about words or concepts in the sentence. In this paper we propose a novel technique which semantically parses the text, hunts for the needed commonsense knowledge and uses that knowledge to answer the given question.