Indurkhya / Damerau Handbook of Natural Language Processing, Second Edition

2. Auflage 2010
ISBN: 978-1-4200-8593-8
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 704 Seiten

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 Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.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 with English

- An actively maintained wiki (http://handbookofnlp.cse.unsw.edu.au) that provides online resources, supplementary information, and up-to-date developments

Divided 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.

Zielgruppe

Computer scientists and statisticians in natural language processing, computational linguistics, language engineering, machine learning, and artificial intelligence; graduate students in computer science, linguistics, and computer engineering.

Autoren/Hrsg.

Indurkhya, Nitin

Damerau, Fred J.

Fachgebiete

• Geisteswissenschaften Sprachwissenschaft Computerlinguistik, Korpuslinguistik

Inhaltsverzeichnis

CLASSICAL APPROACHES
Classical Approaches to Natural Language Processing, Robert Dale

Text Preprocessing, David D. Palmer

Lexical Analysis, Andrew Hippisley

Syntactic Parsing, Peter Ljunglöf and Mats Wirén

Semantic Analysis, Cliff Goddard and Andrea C. Schalley

Natural Language Generation, David D. McDonald

EMPIRICAL AND STATISTICAL APPROACHES
Corpus Creation, Richard Xiao

Treebank Annotation, Eva Hajicová, Anne Abeillé, Jan Hajic, Jiri Mirovský, and Zdenka Urešová

Fundamental Statistical Techniques, Tong Zhang

Part-of-Speech Tagging, Tunga Güngör

Statistical Parsing, Joakim Nivre

Multiword Expressions, Timothy Baldwin and Su Nam Kim

Normalized Web Distance and Word Similarity, Paul M.B. Vitányi and Rudi L. Cilibrasi

Word-Sense Disambiguation, David Yarowsky

An Overview of Modern Speech Recognition, Xuedong Huang and Li Deng

Alignment, Dekai Wu

Statistical Machine Translation, Abraham Ittycheriah

APPLICATIONS
Chinese Machine Translation, Pascale Fung

Information Retrieval, Jacques Savoy and Eric Gaussier

Question Answering, Diego Mollá-Aliod and José-Luis Vicedo

Information Extraction, Jerry R. Hobbs and Ellen Riloff

Report Generation, Leo Wanner

Emerging Applications of Natural Language Generation in Information Visualization, Education, and Healthcare, Barbara Di Eugenio and Nancy L. Green

Ontology Construction, Philipp Cimiano, Johanna Völker, and Paul Buitelaar

BioNLP: Biomedical Text Mining, K. Bretonnel Cohen

Sentiment Analysis and Subjectivity, Bing Liu

Index

Über Autor(innen)

Nitin Indurkhya is an associate professor in the School of Computer Science and Engineering at the University of New South Wales in Sydney, Australia. He is also the founder and president of Data-Miner Pty Ltd, which offers education, training, and consulting services in data/text analytics and human language technologies.

Before his death, Fred J. Damerau was a researcher at IBM’s Thomas J. Watson Research Center in Yorktown Heights, New York, where he worked on machine learning approaches to natural language processing.