| LREC 2000 2nd International Conference on Language Resources & Evaluation | ||||||
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| Title | Will Very Large Corpora Play For Semantic Disambiguation The Role That Massive Computing Power Is Playing For Other AI-Hard Problems? |
| Authors | Cucchiarelli Alessandro (University of Ancona email:alex@inform.unian.it) Faggioli Enrico (University of Ancona ) Velardi Paola (University of Roma 'La Sapienza' email: velardi@dsi.uniroma1.it) |
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| Session | Session WP6 - Tools in the Written Area |
| Full Paper | 76.ps, 76.pdf |
| Abstract | In this paper we formally analyze the relation between the amount of (possibly noisy) examples provided to a word-sense classification algorithm and the performance of the classifier. In the first part of the paper, we show that Computational Learning Theory provides a suitable theoretical framework to establish one such relation. In the second part of the paper, we will apply our theoretical results to the case of a semantic disambiguation algorithm based on syntactic similarity. |