A Corpus of Negations and their Underlying Positive Interpretations

Zahra Sarabi, Erin Killian, Eduardo Blanco, Alexis Palmer


Abstract
Negation often conveys implicit positive meaning. In this paper, we present a corpus of negations and their underlying positive interpretations. We work with negations from Simple Wikipedia, automatically generate potential positive interpretations, and then collect manual annotations that effectively rewrite the negation in positive terms. This procedure yields positive interpretations for approximately 77% of negations, and the final corpus includes over 5,700 negations and over 5,900 positive interpretations. We also present baseline results using seq2seq neural models.
Anthology ID:
S19-1017
Volume:
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
158–167
Language:
URL:
https://www.aclweb.org/anthology/S19-1017
DOI:
10.18653/v1/S19-1017
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S19-1017.pdf