A corpus of precise natural textual entailment problems
Computation and Language
2018-12-17 v1
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.
Cite
@article{arxiv.1812.05813,
title = {A corpus of precise natural textual entailment problems},
author = {Jean-Philippe Bernardy and Stergios Chatzikyriakidis},
journal= {arXiv preprint arXiv:1812.05813},
year = {2018}
}
Comments
34 pages including appendices