Aprendizaje competitivo LVQ para la desambiguación léxica

1. Martín Valdivia, María Teresa
2. García Vega, Manuel
3. Ureña López, Luis Alfonso

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Otras publicaciones en: Procesamiento del lenguaje natural

Resumen

Word Sense Disambiguation improves several tasks of Natural Language Processing. We present a supervised disambiguator based on Vector Space Model, where its weights are trained with a learning vector quantization algorithm based on the Kohonen Model (LVQ algorithm) and using different semantic relations of WordNet and SemCor corpus. We also include an evaluation making a simulation of participation in SENSEVAL-2, obtaining a good position.

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