Semisupervised Learning for Computational Linguistics

Author:   Steven Abney
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367388638


Pages:   320
Publication Date:   30 August 2019
Format:   Paperback
Availability:   Not yet available   Availability explained
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Semisupervised Learning for Computational Linguistics


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Overview

The rapid advancement in the theoretical understanding of statistical and machine learning methods for semisupervised learning has made it difficult for nonspecialists to keep up to date in the field. Providing a broad, accessible treatment of the theory as well as linguistic applications, Semisupervised Learning for Computational Linguistics offers self-contained coverage of semisupervised methods that includes background material on supervised and unsupervised learning. The book presents a brief history of semisupervised learning and its place in the spectrum of learning methods 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, support vector machines (SVMs), and the null-category noise model. In addition, the book covers clustering, the expectation-maximization (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. Taking an intuitive approach to the material, this lucid book facilitates the application of semisupervised learning methods to natural language processing and provides the framework and motivation for a more systematic study of machine learning.

Full Product Details

Author:   Steven Abney
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
ISBN:  

9780367388638


ISBN 10:   0367388634
Pages:   320
Publication Date:   30 August 2019
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Introduction. Self-Training and Co-Training. Applications of Self-Training and Co-Training. Classification. Mathematics for Boundary-Oriented Methods. Boundary-Oriented Methods. Clustering. Generative Models. Agreement Constraints. Propagation Methods. Mathematics for Spectral Methods. Spectral Methods. Bibliography. Index.

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Abney, Steven

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