Paper: Clustering Hungarian Verbs on the Basis of Complementation Patterns

ACL ID P07-3016
Title Clustering Hungarian Verbs on the Basis of Complementation Patterns
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

Our paper reports an attempt to apply an un- supervised clustering algorithm to a Hun- garian treebank in order to obtain seman- tic verb classes. Starting from the hypo- thesis that semantic metapredicates underlie verbs’ syntactic realization, we investigate how one can obtain semantically motivated verb classes by automatic means. The 150 most frequent Hungarian verbs were clus- tered on the basis of their complementation patterns, yielding a set of basic classes and hints about the features that determine ver- bal subcategorization. The resulting classes serve as a basis for the subsequent analysis of their alternation behavior.