Probabilistic coordination disambiguation in a fully-lexicalized Japanese parser

Daisuke Kawahara, Sadao Kurohashi

Research output: Contribution to conferencePaperpeer-review

5 Citations (Scopus)

Abstract

This paper describes a probabilistic model for coordination disambiguation integrated into syntactic and case structure analysis. Our model probabilistically assesses the parallelism of a candidate coordinate structure using syntactic/semantic similarities and cooccurrence statistics. We integrate these probabilities into the framework of fully-lexicalized parsing based on large-scale case frames. This approach simultaneously addresses two tasks of coordination disambiguation: the detection of coordinate conjunctions and the scope disambiguation of coordinate structures. Experimental results on web sentences indicate the effectiveness of our approach.

Original languageEnglish
Pages306-314
Number of pages9
Publication statusPublished - Dec 1 2007
Event2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2007 - Prague, Czech Republic
Duration: Jun 28 2007Jun 28 2007

Other

Other2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2007
CountryCzech Republic
CityPrague
Period6/28/076/28/07

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems
  • Artificial Intelligence
  • Human-Computer Interaction
  • Linguistics and Language

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