Evaluating Factuality in Generation with Dependency-level Entailment

EMNLP, pp. 3592-3603, 2020.

Other Links: arxiv.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Despite significant progress in text generation models, a serious limitation is their tendency to produce text that is factually inconsistent with information in the input. Recent work has studied whether textual entailment systems can be used to identify factual errors; however, these sentence-level entailment models are trained to sol...More

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