Evolving Neural Networks for Word Sense Disambiguation

Authors:
A. Azzini;C. da Costa Pereira;M. Dragoni;A. G. B. Tettamanzi
Affiliations:
-;-;-;-
Venue:
HIS '08 Proceedings of the 2008 8th International Conference on Hybrid Intelligent Systems
Year:
2008

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Abstract

We propose a supervised approach to word sense disambiguation based on neural networks combined with evolutionary algorithms. Large tagged datasets for every sense of a polysemous word are considered, and used to evolve an optimized neural network that correctly disambiguates the sense of the given word considering the context in which it occurs. The viability of the approach has been demonstrated through experiments carried out on a representative set of polysemous words.