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Temporal Expression Identification Based on Semantic Roles

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Natural Language Processing and Information Systems (NLDB 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5723))

Abstract

Following TimeML (TIMEX3) specifications, we present a study analyzing to what extent are semantic roles useful in temporal expression identification task, as well as, a list of the potential applications of this combination. For that purpose, two approaches of a temporal expression identification system based on semantic roles have been developed: (1) Baseline and (2) TIPSem-Full. The first approach is a direct conversion from a temporal semantic role to a temporal expression. The second one processes and converts all temporal roles into correct TIMEX3, using a set of transformation rules defined in this paper. These two approaches have been evaluated using TimeBank corpus. The evaluation results confirm that the application of semantic roles to temporal expression identification task can be valuable, obtaining, for TIPSem-Full, an 73.4% in F1 for relaxed span and a 65.9% in F1 for strict span.

This paper has been supported by the Spanish Government, project TIN-2006-15265-C06-01 where Hector Llorens is funded under a FPI grant (BES-2007-16256).

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Author information

Authors and Affiliations

  1. Natural Language Processing Research Group, University of Alicante, Spain

    Hector Llorens, Estela Saquete & Borja Navarro

Authors
  1. Hector Llorens
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  2. Estela Saquete
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  3. Borja Navarro
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Editor information

Editors and Affiliations

  1. Institut für Computertechnologie, Technische Universität Wien, A-1040, Wien, Austria

    Helmut Horacek

  2. CNAM- Laboratoire Cédric, 292 Rue St. Martin, 75141, Paris Cedex 03, France

    Elisabeth Métais

  3. Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Campus de San Vincente del Raspeig, Apdo 99, 03080, Alicante, Spain

    Rafael Muñoz

  4. Dept. of Computational Linguistics, Saarland University, Germany

    Magdalena Wolska

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Llorens, H., Saquete, E., Navarro, B. (2010). Temporal Expression Identification Based on Semantic Roles . In: Horacek, H., Métais, E., Muñoz, R., Wolska, M. (eds) Natural Language Processing and Information Systems. NLDB 2009. Lecture Notes in Computer Science, vol 5723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12550-8_19

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  • DOI: https://doi.org/10.1007/978-3-642-12550-8_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12549-2

  • Online ISBN: 978-3-642-12550-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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