Abstract
In this paper, a semiautomatic extension of our monolingual (Spanish) TERSEO system to a multilingual level is presented . TERSEO implements a method of event ordering based on temporal expression recognition and resolution. TERSEO consists of two different modules, the first module is based on a set of rules that allows the recognition of the temporal expressions in Spanish. The second module is based on a set of rules that allows the resolution of these temporal expressions (which means transforming them into a concrete date, concrete interval or fuzzy interval). Both sets of rules were defined through an empirical study of a training corpus. The extension of the system, that makes the system able to work with multilingual texts, has been made in five stages. First, a direct translation of the temporal expressions in Spanish of our knowledge database to the target language (English, Italian, French, Catalan, etc) is performed. Each expression in the target language is linked to the same resolution rule used in the source language. The second stage is a search in Google for each expression so that we will eliminate all those expressions of which non exact instances are found. The third step is the obtaining of a set of keywords in the target language, that will be used to look for new temporal expressions in this language, learning new rules automatically. Finally, every new rule is linked with its resolution. Besides, we present two different kinds of evaluations, one of them measures the reliability of the system used for the automatic extraction of rules for new languages. In the other evaluation, the results of precision and recall in the recognition and resolution of Spanish temporal expressions are presented.
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., Martínez-Barco, P., Muñoz, R. (2004). Automatic Multilinguality for Time Expression Resolution. In: Monroy, R., Arroyo-Figueroa, G., Sucar, L.E., Sossa, H. (eds) MICAI 2004: Advances in Artificial Intelligence. MICAI 2004. Lecture Notes in Computer Science(), vol 2972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24694-7_47
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DOI: https://doi.org/10.1007/978-3-540-24694-7_47
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