The Winograd Schema Challenge and Reasoning about Correlation (2015)
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.
In Working Notes of the Symposium on Logical Formalizations of Commonsense Reasoning 2015. AAAI Press.

Amelia Harrison Ph.D. Alumni ameliaj [at] cs utexas edu
Yuliya Lierler Ph.D. Alumni ylierler [at] unomaha edu
Vladimir Lifschitz Faculty vl [at] cs utexas edu
Julian John Michael Undergraduate Alumni julianjm [at] cs utexas edu