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Publication

Cheap Facts and Counter-Facts

Rui Wang; Chris Callison-Burch
In: Proceedings of NAACL-HLT 2010 Workshop on Amazon Mechanical Turk. NAACL-HLT Workshop on Amazon Mechanical Turk (AMT-2010), Creating Speech and Language Data With Amazon’s Mechanical Turk, located at NAACL-HLT 2010, June 5-6, Los Angeles, CA, USA, Association for Computational Linguistics, 6/2010.

Abstract

This paper describes our experiments of using Amazon’s Mechanical Turk to generate (counter-)facts from texts for certain named-entities. We give the human annotators a paragraph of text and a highlighted named-entity. They will write down several (counter-)facts about this named-entity in that context. The analysis of the results is performed by comparing the acquired data with the recognizing textual entailment (RTE) challenge dataset.

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