Abstract
This paper presents an exhaustive study about the Temporal Expression (TE) influence in the task of Word Sense Disambiguation (WSD). The hypothesis was that previous identification of some words or word groups could improved the efficiency of WSD systems. In this case, the experiments carried out show that the identification of temporal expressions made up of one or more words (i.e. today or the following day) improves around 10% precision of the Word Domain Disambiguation Framework. The improvement of the WSD task is achieved by extracting temporal expressions from the corpus which allows us to limit the spread of a search across the EuroWordNet hierarchy. The corpus used to this research was the Spanish lexical sample task from Senseval-2.
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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.
This paper has been supported by the Spanish government, projects FIT-150500-2002-244 and FIT-150500-2002-416 and the Valencia Government (OCyT) under project number CTIDIB-2002-151.
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References
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© 2004 Springer-Verlag Berlin Heidelberg
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Vázquez, S., Saquete, E., Montoyo, A., Martínez-Barco, P., Muñoz, R. (2004). The Role of Temporal Expressions in Word Sense Disambiguation. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2004. Lecture Notes in Computer Science, vol 2945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24630-5_25
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DOI: https://doi.org/10.1007/978-3-540-24630-5_25
Publisher Name: Springer, Berlin, Heidelberg
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