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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Semisupervised Learning for Computational Linguistics

Semisupervised Learning for Computational Linguistics

Abney, Steven

Hardcover

Series: Chapman & Hall/CRC Computer Science & Data Analysis

Business GeneralLinguisticsProbability & Statistics

ISBN10: 1584885599
ISBN13: 9781584885597
Publisher: CRC Press
Published: Sep 1 2007
Pages: 322
Weight: 1.32
Height: 0.88 Width: 6.38 Depth: 9.58
Language: English
This book provides a broad, accessible treatment of the theory and linguistic applications of semisupervised methods. It presents a brief history of the field before moving on to discuss well-known natural language processing methods, such as self-training and co-training. It then centers on machine learning techniques, including the boundary-oriented methods of perceptrons, boosting, SVMs, and the null-category noise model. In addition, the book covers clustering, the EM algorithm, related generative methods, and agreement methods. It concludes with the graph-based method of label propagation as well as a detailed discussion of spectral methods.

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