Semisupervised Learning for Computational Linguistics

ISBN-13: 9780367388638 / Angielski / Miękka / 2019 / 320 str.

Steven Abney

Opis

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.

Spis treści

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.

O autorze

Abney, Steven