Event Ordering Using TERSEO System

  • Estela Saquete
  • Rafael Muñoz
  • Patricio Martínez-Barco
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3136)

Abstract

In this paper, a method of event ordering based on temporal information resolution is presented. This method consists of two main steps: on the one hand, the recognition and resolution of the temporal expressions that can be transformed on a date, and therefore these dates establish an order between the events that contain them. On the other hand, the detection of temporal signals, for example after, that can not be transformed on a concrete date but relate two events in a chronological way. This event ordering method can be applied to Natural Language Processing systems like for example: Summarization, Question Answering, etc.

Keywords

Noun Phrase Event Order Temporal Information Temporal Expression Temporal Signal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Estela Saquete
    • 1
  • Rafael Muñoz
    • 1
  • Patricio Martínez-Barco
    • 1
  1. 1.Grupo de investigación del Procesamiento del Lenguaje y Sistemas de Información., Departamento de Lenguajes y Sistemas InformáticosUniversidad de AlicanteAlicanteSpain

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