Handbook of Natural Language Processing, Second Edition
The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.\ New to the Second Edition\ \ Greater prominence of statistical approaches\ New applications section\ Broader multilingual scope to include Asian and European languages, along...
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The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater prominence of statistical approachesNew applications sectionBroader multilingual scope to include Asian and European languages, along with EnglishAn actively maintained wiki (http://handbookofnlp.cse.unsw.edu.au) that provides online resources, supplementary information, and up-to-date developmentsDivided into three sections, the book first surveys classical techniques, including both symbolic and empirical approaches. The second section focuses on statistical approaches in natural language processing. In the final section of the book, each chapter describes a particular class of application, from Chinese machine translation to information visualization to ontology construction to biomedical text mining. Fully updated with the latest developments in the field, this comprehensive, modern handbook emphasizes how to implement practical language processing tools in computational systems.
List of FiguresList of TablesPt. I Classical Approaches1 Classical Approaches to Natural Language Processing Robert Dale Dale, Robert2 Text Preprocessing David D. Palmer Palmer, David D.3 Lexical Analysis Andrew Hippisley Hippisley, Andrew4 Syntactic Parsing Peter Ljunglof Ljunglof, Peter Mats Wiren Wiren, Mats5 Semantic Analysis Cliff Goddard Goddard, Cliff Andrea C. Schalley Schalley, Andrea C.6 Natural Language Generation David D. McDonald McDonald, David D.Pt. II Empirical and Statistical Approaches7 Corpus Creation Richard Xiao Xiao, Richard8 Treebank Annotation Eva Hajicova Hajicova, Eva Anne Abeille Abeille, Anne Jan Hajic Hajic, Jan Jiri Mirovsky Mirovsky, Jiri Zdenka Uresova Uresova, Zdenka9 Fundamental Statistical Techniques Tong Zhang Tong, Zhang10 Part-of-Speech Tagging Tunga Gungor Gungor, Tunga11 Statistical Parsing Joakim Nivre Nivre, Joakim12 Multiword Expressions Timothy Baldwin Baldwin, Timothy Su Nam Kim Su, Nam Kim13 Normalized Web Distance and Word Similarity Paul M. B. Vitanyi Vitanyi, Paul M. B. Rudi L. Cilibrasi Cilibrasi, Rudi L.14 Word-Sense Disambiguation David Yarowsky Yarowsky, David15 An Overview of Modern Speech Recognition Xuedong Huang Huang, Xuedong Li Deng Li, Deng16 Alignment Dekai Wu Wu, Dekai17 Statistical Machine Translation Abraham Ittycheriah Ittycheriah, AbrahamPt. III Applications18 Chinese Machine Translation Pascale Fung Fung, Pascale19 Information Retrieval Jacques Savoy Savoy, Jacques Eric Gaussier Gaussier, Eric20 Question Answering Diego Molla-Aliod Molla-Aliod, Diego Jose-Luis Vicedo Vicedo, Jose-Luis21 Information Extraction Jerry R. Hobbs Hobbs, Jerry R.Ellen Riloff Riloff, Ellen22 Report Generation Leo Wanner Wanner, Leo23 Emerging Applications of Natural Language Generation in Information Visualization, Education, and Healthcare Barbara Di Eugenio Di Eugenio, Barbara Nancy L. Green Green, Nancy L.24 Ontology Construction Philipp Cimiano Cimiano, Philipp Johanna Volker Volker, Johanna Paul Buitelaar Buitelaar, Paul25 BioNLP: Biomedical Text Mining K. Bretonnel Cohen Cohen, K. Bretonnel26 Sentiment Analysis and Subjectivity Bing Liu Bing, LiuIndex
