Bayesian Analysis in Natural Language Processing, Second Edition - Synthesis Lectures on Human Language Technologies - Shay Cohen - Grāmatas - Springer International Publishing AG - 9783031010422 - 2019. gada 9. aprīlis
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Shay Cohen
Bayesian Analysis in Natural Language Processing, Second Edition - Synthesis Lectures on Human Language Technologies 2. izdevums

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Natural language processing (NLP) went through a profound transformation in the mid-1980s when it shifted to make heavy use of corpora and data-driven techniques to analyze language. Since then, the use of statistical techniques in NLP has evolved in several ways. One such example of evolution took place in the late 1990s or early 2000s, when full-fledged Bayesian machinery was introduced to NLP.

This Bayesian approach to NLP has come to accommodate various shortcomings in the frequentist approach and to enrich it, especially in the unsupervised setting, where statistical learning is done without target prediction examples. In this book, we cover the methods and algorithms that are needed to fluently read Bayesian learning papers in NLP and to do research in the area. These methods and algorithms are partially borrowed from both machine learning and statistics and are partially developed "in-house" in NLP.

We cover inference techniques such as Markov chain Monte Carlo sampling and variational inference, Bayesian estimation, and nonparametric modeling. In response to rapid changes in the field, this second edition of the book includes a new chapter on representation learning and neural networks in the Bayesian context. We also cover fundamental concepts in Bayesian statistics such as prior distributions, conjugacy, and generative modeling.

Finally, we review some of the fundamental modeling techniques in NLP, such as grammar modeling, neural networks and representation learning, and their use with Bayesian analysis.

311 pages, XXXI, 311 p.

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2019. gada 9. aprīlis
ISBN13 9783031010422
Izdevēji Springer International Publishing AG
Lapas 311
Izmēri 150 × 220 × 10 mm   ·   650 g
Valoda Angļu  

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