Steven Abney

Semisupervised Learning for Computational Linguistics (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 320
• Erscheinungstermin: 17. September 2007
• Englisch
• ISBN-13: 9781420010800
• Artikelnr.: 52859222

Autorenporträt

Abney, Steven

Inhaltsangabe

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.