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Semisupervised Learning for Computational Linguistics

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Provides a broad treatment of the theory and linguistic applications of semisupervised methods. This book discusses natural language processing methods, such as self-training and co-training. It focuses on machine learning techniques, including the boundary-oriented methods of perceptrons, boosting, SVMs, and the null-category noise model.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781584885597
  • Indbinding:
  • Hardback
  • Sideantal:
  • 322
  • Udgivet:
  • 17. september 2007
  • Størrelse:
  • 161x243x23 mm.
  • Vægt:
  • 612 g.
  • 8-11 hverdage.
  • 16. december 2024
Forlænget returret til d. 31. januar 2025

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Provides a broad treatment of the theory and linguistic applications of semisupervised methods. This book discusses natural language processing methods, such as self-training and co-training. It focuses on machine learning techniques, including the boundary-oriented methods of perceptrons, boosting, SVMs, and the null-category noise model.

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