Paper: A Multiclassifier based Approach for Word Sense Disambiguation using Singular Value Decomposition

ACL ID W09-3722
Title A Multiclassifier based Approach for Word Sense Disambiguation using Singular Value Decomposition
Venue International Conference on Computational Semantics
Session Main Conference
Year 2009
Authors

In this paper a multiclassifier based approach is presented for a word sense disambiguation (WSD) problem. A vector representation is used for training and testing cases and the Singular Value Decom- position (SVD) technique is applied to reduce the dimension of the representation. The approach we present consists in creating a set of k-NN classifiers and combining the predictions generated in order to give a final word sense prediction for each case to be classified. The combination is done by applying a Bayesian voting scheme. The ap- proach has been applied to a database of 100 words made available by the lexical sample WSD subtask of SemEval-2007 (task 17) organizers. Each of the words was considered an independent classification prob- lem. A methodological parameter tuning phase was a...