Weakly- and Semi-supervised Evidence Extraction

EMNLP, pp. 3965-3970, 2020.

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

Abstract:

For many prediction tasks, stakeholders desire not only predictions but also supporting evidence that a human can use to verify its correctness. However, in practice, additional annotations marking supporting evidence may only be available for a minority of training examples (if available at all). In this paper, we propose new methods t...More

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