5 papers
Boosting Trees for Anti-Spam Email Filtering
Xavier Carreras, Lluis Marquez
This paper describes a set of comparative experiments for the problem of automatically filtering unwanted electronic mail messages. Several variants of the AdaBoost algorithm with…
A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation
Gerard Escudero, Lluis Marquez, German Rigau
This paper describes a set of comparative experiments, including cross-corpus evaluation, between five alternative algorithms for supervised Word Sense Disambiguation (WSD), namely…
Naive Bayes and Exemplar-Based approaches to Word Sense Disambiguation Revisited
Gerard Escudero, Lluis Marquez, German Rigau
This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar-based classification, on the Word Sense Disambigua…
Boosting Applied to Word Sense Disambiguation
Gerard Escudero, Lluis Marquez, German Rigau
In this paper Schapire and Singer's AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polysemous…
On the Evaluation and Comparison of Taggers: The Effect of Noise in Testing Corpora
L. Padro, L. Marquez
This paper addresses the issue of {\sc pos} tagger evaluation. Such evaluation is usually performed by comparing the tagger output with a reference test corpus, which is assumed to…