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Semisupervised Learning for Computational Linguistics

Semisupervised Learning for Computational Linguistics

Paperback

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

Business GeneralLinguisticsProbability & Statistics

ISBN10: 0367388634
ISBN13: 9780367388638
Publisher: Crc Pr Inc
Published: Sep 25 2019
Pages: 320
Weight: 0.95
Height: 0.70 Width: 6.10 Depth: 9.10
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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