At each round, Ý classifiers are built using as training all the examples in the training set except the one to be classified, and the weights are updated at feature level rather than context level.
we first present an original classification correction method based on the variation of posterior probability estimates across data and then the adaptation of the Adaboost method (Freund and Schapire, 1997) to the task of lexical classification.