Paper: A Model Of Syntactic Disambiguation Based On Lexicalized Grammars

ACL ID W03-0401
Title A Model Of Syntactic Disambiguation Based On Lexicalized Grammars
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2003
Authors
  • Yusuke Miyao (University of Tokyo, Tokyo Japan)
  • Jun'ichi Tsujii (University of Tokyo, Tokyo Japan; CREST Japan Science and Technology Corporation, Saitama Japan)

This paper presents a new approach to syntac- tic disambiguation based on lexicalized gram- mars. While existing disambiguation mod- els decompose the probability of parsing re- sults into that of primitive dependencies of two words, our model selects the most probable parsing result from a set of candidates allowed by a lexicalized grammar. Since parsing re- sults given by the lexicalized grammar cannot be decomposed into independent sub-events, we apply a maximum entropy model for fea- ture forests, which allows probabilistic model- ing without the independence assumption. Our approach provides a general method of produc- ing a consistent probabilistic model of parsing results given by lexicalized grammars.