Cheap Facts and Counter-Facts
نویسندگان
چکیده
This paper describes our experiments of using Amazon’s Mechanical Turk to generate (counter-)facts from texts for certain namedentities. 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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