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Improving English subcategorization acquisition with diathesis alternations as heuristic information

  • Heilongjiang University
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Contribution to conferencePaperpeer-review

Abstract

Automatically acquired lexicons with subcategorization information have already proved accurate and useful enough for some purposes but their accuracy still shows room for improvement. By means of diathesis alternation, this paper proposes a new filtering method, which improved the performance of Korhonen's acquisition system remarkably, with the precision increased to 91.18% and recall unchanged, making the acquired lexicon much more practical for further manual proofreading and other NLP uses.

Original languageEnglish
Pages331-336
Number of pages6
StatePublished - 2006
Externally publishedYes
Event21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, COLING/ACL 2006 - Sydney, Australia
Duration: 17 Jul 200618 Jul 2006

Conference

Conference21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, COLING/ACL 2006
Country/TerritoryAustralia
CitySydney
Period17/07/0618/07/06

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