A pipeline model for bottom-up dependency parsing

Ming Wei Chang, Quang Do, Dan Roth

Research output: Contribution to conferencePaperpeer-review

Abstract

We present a new machine learning framework for multi-lingual dependency parsing. The framework uses a linear, pipeline based, bottom-up parsing algorithm, with a look ahead local search that serves to make the local predictions more robust. As shown, the performance of the first generation of this algorithm is promising.

Original languageEnglish (US)
StatePublished - Dec 1 2006
Event10th Conference on Computational Natural Language Learning, CoNLL-X - New York, NY, United States
Duration: Jun 8 2006Jun 9 2006

Other

Other10th Conference on Computational Natural Language Learning, CoNLL-X
CountryUnited States
CityNew York, NY
Period6/8/066/9/06

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Linguistics and Language

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