Boosting Applied to Tagging and PP Attachment

Steven Abney, Robert E. Schapire, Yoram Singer

Research output: Contribution to conferencePaperpeer-review

76 Scopus citations

Abstract

Boosting is a machine learning algorithm that is not well known in computational linguistics. We apply it to part-of-speech tagging and prepositional phrase attachment. Performance is very encouraging. We also show how to improve data quality by using boosting to identify annotation errors.

Original languageEnglish (US)
Pages38-45
Number of pages8
StatePublished - 1999
Event1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, EMNLP 1999 - College Park, United States
Duration: Jun 21 1999Jun 22 1999

Conference

Conference1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, EMNLP 1999
Country/TerritoryUnited States
CityCollege Park
Period6/21/996/22/99

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Computational Theory and Mathematics

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