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A corpus of precise natural textual entailment problems
December 14, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Jean-Philippe Bernardy, Stergios Chatzikyriakidis
arXiv ID
1812.05813
Category
cs.CL: Computation & Language
Citations
2
Venue
arXiv.org
Last Checked
5 months ago
Abstract
In this paper, we present a new corpus of entailment problems. This corpus combines the following characteristics: 1. it is precise (does not leave out implicit hypotheses) 2. it is based on "real-world" texts (i.e. most of the premises were written for purposes other than testing textual entailment). 3. its size is 150. The corpus was constructed by taking problems from the Real Text Entailment and discovering missing hypotheses using a crowd of experts. We believe that this corpus constitutes a first step towards wide-coverage testing of precise natural-language inference systems.
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