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Applying System Combination to Base Noun Phrase Identification

  • Erik F. Tjong Kim Sang
  • , Walter Daelemans
  • , Hervé Dejean
  • , Rob Koeling
  • , Yuval Krymolowski
  • , Vasin Punyakanok
  • , Dan Roth

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We use seven machine learning algorithms for one task: identifying base noun phrases. The results have been processed by different system combination methods and all of these outperformed the best individual result. We have applied the seven learners with the best combinator, a majority vote of the top five systems, to a standard data set and managed to improve the best published result for this data set.

Original languageEnglish
Title of host publication18th International Conference on Computational Linguistics, COLING 2000 - Proceedings of Science
PublisherAssociation for Computational Linguistics (ACL)
Pages857-863
Number of pages7
ISBN (Electronic)155860717X, 9781558607170
StatePublished - 2000
Externally publishedYes
Event18th International Conference on Computational Linguistics, COLING 2000 - Saarbrucken, Germany
Duration: Jul 31 2000Aug 4 2000

Publication series

Name18th International Conference on Computational Linguistics, COLING 2000 - Proceedings of Science
Volume2

Conference

Conference18th International Conference on Computational Linguistics, COLING 2000
Country/TerritoryGermany
CitySaarbrucken
Period07/31/0008/4/00

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