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Semisupervised learning in computational linguistics

Author: Steven P Abney
Publisher: Boca Raton, FL : Chapman & Hall/CRC, ©2008.
Series: Series in computer science and data analysis.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:

Provides a broad treatment of the theory and linguistic applications of semisupervised methods. This book discusses natural language processing methods, such as self-training and co-training. It  Read more...

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Genre/Form: Electronic books
Additional Physical Format: Print version:
Abney, Steven P.
Semisupervised learning in computational linguistics.
Boca Raton, FL : Chapman & Hall/CRC, ©2008
(DLC) 2007022858
(OCoLC)141187936
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Steven P Abney
ISBN: 9781420010800 1420010808
OCLC Number: 213376860
Description: 1 online resource (xi, 308 pages) : illustrations.
Contents: INTRODUCTION A brief history Semisupervised learning Organization and assumptions SELF-TRAINING AND CO-TRAINING Classification Self-training Co-training APPLICATIONS OF SELF-TRAINING AND CO-TRAINING Part-of-speech tagging Information extraction Parsing Word senses CLASSIFICATION Two simple classifiers Abstract setting Evaluating detectors and classifiers that abstain Binary classifiers and ECOC MATHEMATICS FOR BOUNDARY-ORIENTED METHODS Linear separators The gradient Constrained optimization BOUNDARY-ORIENTED METHODS The perceptron Game self-teaching Boosting Support vector machines (SVMs) Null-category noise model CLUSTERING Cluster and label Clustering concepts Hierarchical clustering Self-training revisited Graph mincut Label propagation Bibliographic notes GENERATIVE MODELS Gaussian mixtures The EM algorithm AGREEMENT CONSTRAINTS Co-training Agreement-based self-teaching Random fields Bibliographic notes PROPAGATION METHODS Label propagation Random walks Harmonic functions Fluids Computing the solution Graph mincuts revisited Bibliographic notes MATHEMATICS FOR SPECTRAL METHODS Some basic concepts Eigenvalues and eigenvectors Eigenvalues and the scaling effects of a matrix Bibliographic notes SPECTRAL METHODS Simple harmonic motion Spectra of matrices and graphs Spectral clustering Spectral methods for semisupervised learning Bibliographic notes BIBLIOGRAPHY INDEX
Series Title: Series in computer science and data analysis.
Responsibility: Steven Abney.
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