Extensive Study on Automatic Verb Sense Disambiguation in Czech

Abstract

In this paper we compare automatic methods for disambiguation of verb senses, in particular we investigate Naive Bayes classifier, decision trees, and a rule-based method. Different types of features are proposed, including morphological, syntax-based, idiomatic, animacy, and WordNet-based features.

We evaluate the methods together with individual feature types on two essentially different Czech corpora, VALEVAL and the Prague Dependency Treebank. The best performing methods and features are discussed.