A corpus of negations and their underlying positive interpretations

Zahra Sarabi, Erin Killian, Eduardo Blanco, Alexis Palmer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publication*SEM@NAACL-HLT 2019 - 8th Joint Conference on Lexical and Computational Semantics
PublisherAssociation for Computational Linguistics (ACL)
Pages158-167
Number of pages10
ISBN (Electronic)9781948087933
StatePublished - 2019
Externally publishedYes
Event8th Joint Conference on Lexical and Computational Semantics, *SEM@NAACL-HLT 2019 - Minneapolis, United States
Duration: Jun 6 2019Jun 7 2019

Publication series

Name*SEM@NAACL-HLT 2019 - 8th Joint Conference on Lexical and Computational Semantics

Conference

Conference8th Joint Conference on Lexical and Computational Semantics, *SEM@NAACL-HLT 2019
Country/TerritoryUnited States
CityMinneapolis
Period6/6/196/7/19

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

Fingerprint

Dive into the research topics of 'A corpus of negations and their underlying positive interpretations'. Together they form a unique fingerprint.

Cite this