A comparison between supervised learning algorithms for word sense disambiguation
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Combining knowledge- and corpus-based word-sense-disambiguation methods
Journal of Artificial Intelligence Research
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In this paper we describe the structure, organisation and results of the SENSEVAL exercise for Spanish. We present several design decisions we taked for the exercise, we describe the creation of the gold-standard data and finally, we present the results of the evaluation. Twelve systems from five different universities were evaluated. Final scores ranged from 0.56 to 0.65.