LREC 2000 - Papers

LREC 2000 2^nd 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)

Keywords

Session Session WP6 - Tools in the Written Area

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.

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)
Keywords
Session	Session WP6 - Tools in the Written Area
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.