Sense-specific implicative commitments

Gerard De Melo, Valeria De Paiva

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

2 Scopus citations

Abstract

Natural language processing systems, even when given proper syntactic and semantic interpretations, still lack the common sense inference capabilities required for genuinely understanding a sentence. Recently, there have been several studies developing a semantic classification of verbs and their sentential complements, aiming at determining which inferences people draw from them. Such constructions may give rise to implied commitments that the author normally cannot disavow without being incoherent or without contradicting herself, as described for instance in the work of Kartunnen. In this paper, we model such knowledge at the semantic level by attempting to associate such inferences with specific word senses, drawing on WordNet and VerbNet. This allows us to investigate to what extent the inferences apply to semantically equivalent words within and across languages.

Original languageEnglish (US)
Title of host publicationComputational Linguistics and Intelligent Text Processing - 15th International Conference, CICLing 2014, Proceedings
PublisherSpringer Verlag
Pages391-402
Number of pages12
EditionPART 1
ISBN (Print)9783642549052
DOIs
StatePublished - 2014
Externally publishedYes
Event15th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2014 - Kathmandu, Nepal
Duration: Apr 6 2014Apr 12 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8403 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2014
CountryNepal
CityKathmandu
Period4/6/144/12/14

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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