Using loglinear clustering for subcategorization identification

Abstract

In this paper we will describe a process for mining syntactical verbal subcategorization, i.e. the information about the kind of phrases or clauses a verb goes with. We will use a large text corpus having almost 10,000,000 tagged words as our resource material. Loglinear modeling is used to analyze and automatically identify the subcategorization dependencies. An unsupervised clustering algorithm is used to accurately determine verbal subcategorization frames. In this paper we just tackle verbal subcategorization of noun phrases and prepositional phrases. A sample of 81 Portuguese verbs was used for evaluation purposes 97% precision and 99% recall for noun phrases and 92% precision and 100% recall for prepositional phrases was obtained.