Identity and granularity of events in text

Piek Vossen*, Agata Cybulska

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

In this paper we describe a method to detect event descriptions in different news articles and to model the semantics of events and their components using RDF representations. We compare these descriptions to solve a cross-document event coreference task. Our component approach to event semantics defines identity and granularity of events at different levels. It performs close to state-of-the-art approaches on the cross-document event coreference task, while outperforming other works when assuming similar quality of event detection. We demonstrate how granularity and identity are interconnected and we discuss how semantic anomaly could be used to define differences between coreference, subevent and topical relations.

Original languageEnglish
Title of host publicationComputational Linguistics and Intelligent Text Processing - 17th International Conference, CICLing 2016, Revised Selected Papers
PublisherSpringer/Verlag
Pages501-522
Number of pages22
ISBN (Electronic)9783319754871
ISBN (Print)9783319754864
DOIs
Publication statusPublished - 2018
Event17th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2016 - Konya, Turkey
Duration: 3 Apr 20169 Apr 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9624 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2016
CountryTurkey
CityKonya
Period3/04/169/04/16

Keywords

  • Event coreference
  • Event identity
  • Event relations

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