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.
This paper has been supported by the Spanish government, projects FIT-150500-2002-244, FIT-150500-2002-416, TIC-2003-07158-C04-01 and TIC2000-0664-C02-02
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Saquete, E., Muñoz, R., Martínez-Barco, P. (2004). Event Ordering Using TERSEO System. In: Meziane, F., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2004. Lecture Notes in Computer Science, vol 3136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27779-8_4
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DOI: https://doi.org/10.1007/978-3-540-27779-8_4
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