Paper: Improved Lexical Acquisition through DPP-based Verb Clustering

ACL ID P13-1085
Title Improved Lexical Acquisition through DPP-based Verb Clustering
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

Subcategorization frames (SCFs), selec- tional preferences (SPs) and verb classes capture related aspects of the predicate- argument structure. We present the first unified framework for unsupervised learn- ing of these three types of information. We show how to utilize Determinantal Point Processes (DPPs), elegant proba- bilistic models that are defined over the possible subsets of a given dataset and give higher probability mass to high qual- ity and diverse subsets, for clustering. Our novel clustering algorithm constructs a joint SCF-DPP DPP kernel matrix and uti- lizes the efficient sampling algorithms of DPPs to cluster together verbs with sim- ilar SCFs and SPs. We evaluate the in- duced clusters in the context of the three tasks and show results that are superior to strong baseline...