Automatic extraction of implicit interpretations from modal constructions

Jordan Sanders, Eduardo Blanco

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

Abstract

This paper presents an approach to extract implicit interpretations from modal constructions. Importantly, our approach uses a deterministic procedure to normalize eventualities and generate potential interpretations. An annotation effort demonstrates that these interpretations are intuitive to humans and most modal constructions convey at least one interpretation. Experimental results show that the task is challenging but can be automated.

Original languageEnglish (US)
Title of host publicationEMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings
PublisherAssociation for Computational Linguistics (ACL)
Pages1098-1107
Number of pages10
ISBN (Electronic)9781945626258
DOIs
StatePublished - 2016
Externally publishedYes
Event2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016 - Austin, United States
Duration: Nov 1 2016Nov 5 2016

Publication series

NameEMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings

Conference

Conference2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016
Country/TerritoryUnited States
CityAustin
Period11/1/1611/5/16

ASJC Scopus subject areas

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

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