The Winograd Schema Challenge is an alternative to the Turing Test that may provide a more meaningful measure of machine intelligence. It poses a set of coreference resolution problems that cannot be solved without human-like reasoning. In this paper, we take the view that the solution to such problems lies in establishing discourse coherence. Specifically, we examine two types of rhetorical relations that can be used to establish discourse coherence: positive and negative correlation. We introduce a framework for reasoning about correlation between sentences, and show how this framework can be used to justify solutions to some Winograd Schema problems.

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In Working Notes of the Symposium on Logical Formalizations of Commonsense Reasoning 2015. AAAI Press.

@incollection{wsc:2015, title={The Winograd Schema Challenge and Reasoning about Correlation}, author={Daniel Bailey and Amelia Harrison and Yuliya Lierler and Vladimir Lifschitz and Julian Michael}, booktitle={Working Notes of the Symposium on Logical Formalizations of Commonsense Reasoning}, publisher={AAAI Press}, url="http://www.cs.utexas.edu/users/ai-lab?wsc15", year={2015} }