Analysis and refinement of temporal relation aggregation

Taylor Cassidy, Heng Ji

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

Abstract

To obtain a complete temporal picture of a relation it is necessary to aggregate fragments of temporal information across relation instances in text. This process is non-trivial even for humans because temporal information can be imprecise and inconsistent, and systems face the additional challenge that each of their classifications is potentially false. Even a small amount of incorrect proposed temporal information about a relation can severely affect the resulting aggregate temporal knowledge. We motivate and evaluate three methods to modify temporal relation information prior to aggregation to address this challenge.

Original languageEnglish (US)
Title of host publicationCOLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014
Subtitle of host publicationTechnical Papers
PublisherAssociation for Computational Linguistics, ACL Anthology
Pages1556-1566
Number of pages11
ISBN (Electronic)9781941643266
StatePublished - Jan 1 2014
Externally publishedYes
Event25th International Conference on Computational Linguistics, COLING 2014 - Dublin, Ireland
Duration: Aug 23 2014Aug 29 2014

Publication series

NameCOLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers

Other

Other25th International Conference on Computational Linguistics, COLING 2014
CountryIreland
CityDublin
Period8/23/148/29/14

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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