Shay Cohen: Bayesian analysis in natural language processing. Morgan and Claypool, San Rafael, California, 2016, xxvii + 246 pp, ISBN 9781627058735
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Bayesian Analysis in Natural Language Processingby Shay Cohen, published by Morgan & Claypool Publishers in 2016, is a book aimed at providing a thorough overview both of foundations of Bayesian analysis for natural language processing (NLP) for researchers and scholars, and of applications of Bayesian methods in the natural language processing field. The book is divided into eight chapters, with two appendices. The first three chapters accommodate a sound introduction to basic statistical concepts, notation, and to the foundations of Bayesian analysis, which is obviously key to understanding the rest of the book. The next three chapters elaborate on the Bayesian machinery which is necessary for dealing with Bayesian analysis, i.e., Bayesian estimation methods, sampling methods, and variational inference. The seventh chapter presents the most recent nonparametric framework, which is being increasingly applied in NLP research. The last chapter is devoted to Bayesian grammar models,...
- Blunsom P, Cohn T (2010) Inducing synchronous grammars with slice sampling. In: Human language technologies: the 2010 annual conference of the North American chapter of the association for computational linguistics, HLT ’10. Association for Computational Linguistics, Stroudsburg, PA, USA, pp 238–241Google Scholar
- DeNero J, Bouchard-Côté A, Klein D (2008) Sampling alignment structure under a Bayesian translation model. In: Proceedings of the conference on empirical methods in natural language processing, EMNLP ’08. Association for Computational Linguistics, Stroudsburg, PA, USA, pp 314–323Google Scholar
- Neal RM, Hinton GE (1999) Learning in graphical models. Chapter A View of the EM algorithm that justifies incremental, Sparse, and Other Variants. MIT Press, Cambridge, MA, USA, pp 355–368Google Scholar
- Wu D (1997) Stochastic inversion transduction grammars and bilingual parsing of parallel corpora. Comput Linguist 23(3):377–403Google Scholar