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Semisupervised Learning for Computational Linguistics

By Steven Abney

Semisupervised Learning for Computational Linguistics Law

Semisupervised Learning for Computational Linguistics

By Steven Abney

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
324
Release Date:
2019-09-26
Publication Date:
2019-09-25
Publisher:
Chapman and Hall/CRC
Languages:
Original: English
ISBN10:
0367388634
ISBN13:
9780367388638
Weight:
494 g
Height:
156 cm
Width:
234 cm
Thickness:
18 cm
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