Text, Speech and Language Technology

Trends in Parsing Technology

Dependency Parsing, Domain Adaptation, and Deep Parsing

Editors: Bunt, Harry, Merlo, Paola, Nivre, Joakim (Eds.)

  • Assembles contributions from many of today’s leading researchers in the area of natural language processing technology
  • Describes the contributors’ most recent work and a range of new techniques and results
  • Presents an overview of the latest research in parsing technologies with a focus on three important themes in the field today: dependency parsing, domain adaptation, and deep parsing
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eBook $159.00
price for USA (gross)
  • ISBN 978-90-481-9352-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-90-481-9351-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-94-007-3379-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Parsing technology is a central area of research in the automatic processing of human language. It is concerned with the decomposition of complex structures into their constituent parts, in particular with the methods, the tools and the software to parse automatically. Parsers are used in many application areas, such as information extraction from free text or speech, question answering, speech recognition and understanding, recommender systems, machine translation, and automatic summarization. New developments in the area of parsing technology are thus widely applicable.

This book collects contributions from leading researchers in the area of natural language processing technology, describing their recent work and a range of new techniques and results. The book presents a state-of-the-art overview of current research in parsing tehcnologies with a focus on three important themes in the field today: dependency parsing, domain adaptation, and deep parsing.

This book is the fourth in a line of such collections, and its breadth of coverage should make it suitable both as an overview of the state of the field for graduate students, and as a reference for established researchers in Computational Linguistics, Artificial Intelligence, Computer Science, Language Engineering, Information Science, and Cognitive Science. It will also be of interest to designers, developers, and advanced users of natural language processing systems, including applications such as spoken dialogue, text mining, multimodal human-computer interaction, and semantic web technology.

Table of contents (16 chapters)

  • Current Trends in Parsing Technology

    Merlo, Paola (et al.)

    Pages 1-17

  • Single Malt or Blended? A Study in Multilingual Parser Optimization

    Hall, Johan (et al.)

    Pages 19-33

  • A Latent Variable Model for Generative Dependency Parsing

    Titov, Ivan (et al.)

    Pages 35-55

  • Dependency Parsing and Domain Adaptation with Data-Driven LR Models and Parser Ensembles

    Sagae, Kenji (et al.)

    Pages 57-68

  • Dependency Parsing Using Global Features

    Nakagawa, Tetsuji

    Pages 69-86

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-90-481-9352-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-90-481-9351-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-94-007-3379-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Trends in Parsing Technology
Book Subtitle
Dependency Parsing, Domain Adaptation, and Deep Parsing
Editors
  • Harry Bunt
  • Paola Merlo
  • Joakim Nivre
Series Title
Text, Speech and Language Technology
Series Volume
43
Copyright
2010
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media B.V.
eBook ISBN
978-90-481-9352-3
DOI
10.1007/978-90-481-9352-3
Hardcover ISBN
978-90-481-9351-6
Softcover ISBN
978-94-007-3379-4
Series ISSN
1386-291X
Edition Number
1
Number of Pages
X, 298
Topics