Will Very Large Corpora Play For Semantic Disambiguation The Role That Massive Computing Power Is Playing For Other AI-Hard Problems?
Alessandro Cucchiarelli, Enrico Faggioli, Paola Velardi · 2000
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.