Bayesian Analysis in Natural Language Processing, Second Edition
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 co…
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Produktdetails
- ISBN: 978-3-031-01042-2
- EAN: 9783031010422
- Produktnummer: 39048810
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 344 S.
- Masse: H23.5 cm x B19.1 cm x D1.8 cm 643 g
- Auflage: 2. Auflage
- Abbildungen: Paperback
- Gewicht: 643
Über den Autor
Shay Cohen is a Lecturer at the Institute for Language, Cognition and Computation at the School of Informatics at the University of Edinburgh. He received his Ph.D. in Language Technologies from Carnegie Mellon University (2011), his M.Sc. in Computer Science fromTel-Aviv University (2004) and his B.Sc. in Mathematics and Computer Science from Tel-Aviv University (2000). He was awarded a Computing Innovation Fellowship for his postdoctoral studies at Columbia University (2011âEUR2013) and a Chancellors Fellowship in Edinburgh (2013âEUR2018). His research interests are in natural language processing and machine learning, with a focus on problems in structured prediction, such as syntactic and semantic parsing.
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