| Title |
Learning Verb Subcategorization from Corpora: Counting Frame Subsets |
| Authors |
Zeman Daniel (Ϊstav formαlnν a aplikovanι lingvistiky, Univerzita Karlova, Praha)
Sarkar Anoop (Department of Computer and Information Science, University of Pennsylvania, Philadelphia) |
| Keywords |
Corpus, Frames, Subcategorization, Syntax, Valency, Verb |
| Session |
Session WO6 - Acquisition of Lexical Information |
| Full Paper |
145.ps, 145.pdf |
| Abstract |
We present some novel machine learning techniques for the identification of subcategorization information for verbs in Czech. We compare three different statistical techniques applied to this problem. We show how the learning algorithm can be used to discover previously unknown subcategorization frames from the Czech Prague Dependency Treebank. The algorithm can then be used to label dependents of a verb in the Czech treebank as either arguments or adjuncts. Using our techniques, we are able to achieve 88 % accuracy on unseen parsed text. |
