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Semi-Supervised Dependency Parsing

Authors: Chen, Wenliang, Zhang, Min

  • Presents a comprehensive overview of semi-supervised approaches to dependency parsing
  • Bridges the gap between small human-annotated training data and huge raw data for dependency parsing
  • Explains why semi-supervised approaches are well suited to dependency parsing
  • Clarifies the differences between the three levels of information for semi-supervised dependency parsing
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eBook $99.00
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  • ISBN 978-981-287-552-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
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  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-981-287-551-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book presents a comprehensive overview of semi-supervised approaches to dependency parsing. Having become increasingly popular in recent years, one of the main reasons for their success is that they can make use of large unlabeled data together with relatively small labeled data and have shown their advantages in the context of dependency parsing for many languages. Various semi-supervised dependency parsing approaches have been proposed in recent works which utilize different types of information gleaned from unlabeled data. The book offers readers a comprehensive introduction to these approaches, making it ideally suited as a textbook for advanced undergraduate and graduate students and researchers in the fields of syntactic parsing and natural language processing.

Table of contents (10 chapters)

  • Introduction

    Chen, Wenliang (et al.)

    Pages 1-10

  • Dependency Parsing Models

    Chen, Wenliang (et al.)

    Pages 11-25

  • Overview of Semi-supervised Dependency Parsing Approaches

    Chen, Wenliang (et al.)

    Pages 27-31

  • Training with Auto-parsed Whole Trees

    Chen, Wenliang (et al.)

    Pages 33-47

  • Training with Lexical Information

    Chen, Wenliang (et al.)

    Pages 49-56

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-981-287-552-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-981-287-551-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Semi-Supervised Dependency Parsing
Authors
Copyright
2015
Publisher
Springer Singapore
Copyright Holder
Springer Science+Business Media Singapore
eBook ISBN
978-981-287-552-5
DOI
10.1007/978-981-287-552-5
Hardcover ISBN
978-981-287-551-8
Edition Number
1
Number of Pages
VIII, 144
Number of Illustrations and Tables
48 b/w illustrations, 13 illustrations in colour
Topics