AI Bibliography
AI Bibliography |
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Levesque, H., Davis, E., & Morgenstern, L. 2012, The winograd schema challenge. Paper presented at Thirteenth international conference on the principles of knowledge representation and reasoning. |
| Resource type: Proceedings Article BibTeX citation key: Levesque2012 View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Complexity Science, Computer Science, Data Sciences, Decision Theory, General Subcategories: Decision making, Deep learning, Human decisionmaking, Human learning, Machine learning, Neural nets Creators: Davis, Levesque, Morgenstern Publisher: Collection: Thirteenth international conference on the principles of knowledge representation and reasoning |
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In this paper, we present an alternative to the Turing Test that has some conceptual and practical advantages. A Winograd schema is a pair of sentences that differ only in one or two words and that contain a referential ambiguity that is resolved in opposite directions in the two sentences. We have compiled a collection of Winograd schemas, designed so that the correct answer is obvious to the human reader, but cannot easily be found using selectional restrictions or statistical techniques over text corpora. A contestant in the Winograd Schema Challenge is presented with a collection of one sentence from each pair, and required to achieve human-level accuracy in choosing the correct disambiguation.
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