Parsing with generative models of predicate-argument structure

Research output: Contribution to journalConference articlepeer-review

Abstract

The model used by the CCG parser of Hockenmaier and Steedman (2002b) would fail to capture the correct bilexical dependencies in a language with freer word order, such as Dutch. This paper argues that probabilistic parsers should therefore model the dependencies in the predicate-argument structure, as in the model of Clark et al. (2002), and defines a generative model for CCG derivations that captures these dependencies, including bounded and unbounded long-range dependencies.

Original languageEnglish (US)
JournalProceedings of the Annual Meeting of the Association for Computational Linguistics
Volume2003-July
StatePublished - 2003
Externally publishedYes
Event41st Annual Meeting of the Association for Computational Linguistics, ACL 2003 - Sapporo, Japan
Duration: Jul 7 2003Jul 12 2003

ASJC Scopus subject areas

  • Computer Science Applications
  • Linguistics and Language
  • Language and Linguistics

Fingerprint

Dive into the research topics of 'Parsing with generative models of predicate-argument structure'. Together they form a unique fingerprint.

Cite this