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Semisupervised Learning for Computational Linguistics

Semisupervised Learning for Computational Linguistics
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Semisupervised Learning for Computational Linguistics
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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  • Publisher: Chapman & Hall
  • Publication Place: UK
  • Publication Year: 2007-09-17
  • Language: English
  • Number of Pages: 320
  • Edition: 1
  • Series: Chapman & Hall/CRC Computer Science & Data Analysis
  • Seller: BestBookBuddies  
  • Category: RAPS
  • Stock: 9999
  • Model: Stock
  • Weight: 0.60kg
  • SKU: Stock
  • ISBN: 9781584885597
  • Sold By: taylorandfrancis
  • Contact Seller
  • ₹6,388.54
    ₹7,985.68
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