Automatic Fact-Checking Using Context and Discourse Information

Journal of Data and Information Quality, pp. 1-27, 2019.

Cited by: 6|Bibtex|Views67|DOI:https://doi.org/10.1145/3297722
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Other Links: academic.microsoft.com|dblp.uni-trier.de|dl.acm.org|arxiv.org

Abstract:

We study the problem of automatic fact-checking, paying special attention to the impact of contextual and discourse information. We address two related tasks: (i) detecting check-worthy claims and (ii) fact-checking claims. We develop supervised systems based on neural networks, kernel-based support vector machines, and combinations there...More

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