Towards addressing the winograd schema challenge - Building and using a semantic parser and a knowledge hunting module

Arpit Sharma, Nguyen H. Vo, Somak Aditya, Chitta Baral

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

Concerned about the Turing test's ability to correctly evaluate if a system exhibits human-like intelligence, the Winograd Schema Challenge (WSC) has been proposed as an alternative. A Winograd Schema consists of a sentence and a question. The answers to the questions are intuitive for humans but are designed to be difficult for machines, as they require various forms of commonsense knowledge about the sentence. In this paper we demonstrate our progress towards addressing the WSC. We present an approach that identifies the knowledge needed to answer a challenge question, hunts down that knowledge from text repositories, and then reasons with them to come up with the answer. In the process we develop a semantic parser (www.kparser.org). We show that our approach works well with respect to a subset of Winograd schemas.

Original languageEnglish (US)
Title of host publicationIJCAI International Joint Conference on Artificial Intelligence
PublisherInternational Joint Conferences on Artificial Intelligence
Pages1319-1325
Number of pages7
Volume2015-January
ISBN (Print)9781577357384
StatePublished - 2015
Event24th International Joint Conference on Artificial Intelligence, IJCAI 2015 - Buenos Aires, Argentina
Duration: Jul 25 2015Jul 31 2015

Other

Other24th International Joint Conference on Artificial Intelligence, IJCAI 2015
CountryArgentina
CityBuenos Aires
Period7/25/157/31/15

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Semantics

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Sharma, A., Vo, N. H., Aditya, S., & Baral, C. (2015). Towards addressing the winograd schema challenge - Building and using a semantic parser and a knowledge hunting module. In IJCAI International Joint Conference on Artificial Intelligence (Vol. 2015-January, pp. 1319-1325). International Joint Conferences on Artificial Intelligence.

Towards addressing the winograd schema challenge - Building and using a semantic parser and a knowledge hunting module. / Sharma, Arpit; Vo, Nguyen H.; Aditya, Somak; Baral, Chitta.

IJCAI International Joint Conference on Artificial Intelligence. Vol. 2015-January International Joint Conferences on Artificial Intelligence, 2015. p. 1319-1325.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sharma, A, Vo, NH, Aditya, S & Baral, C 2015, Towards addressing the winograd schema challenge - Building and using a semantic parser and a knowledge hunting module. in IJCAI International Joint Conference on Artificial Intelligence. vol. 2015-January, International Joint Conferences on Artificial Intelligence, pp. 1319-1325, 24th International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, 7/25/15.
Sharma A, Vo NH, Aditya S, Baral C. Towards addressing the winograd schema challenge - Building and using a semantic parser and a knowledge hunting module. In IJCAI International Joint Conference on Artificial Intelligence. Vol. 2015-January. International Joint Conferences on Artificial Intelligence. 2015. p. 1319-1325
Sharma, Arpit ; Vo, Nguyen H. ; Aditya, Somak ; Baral, Chitta. / Towards addressing the winograd schema challenge - Building and using a semantic parser and a knowledge hunting module. IJCAI International Joint Conference on Artificial Intelligence. Vol. 2015-January International Joint Conferences on Artificial Intelligence, 2015. pp. 1319-1325
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