[Corpora-List] New Book: Kuebler, McDonald, Nivre: Dependency Parsing
Graeme Hirst
gh at cs.toronto.edu
Tue Dec 1 20:19:01 UTC 2009
BOOK ANNOUNCEMENT
Dependency Parsing
Sandra Kübler (Indiana University)
Ryan McDonald (Google Research)
Joakim Nivre (Uppsala and Växjö Universities)
Synthesis Lectures on Human Language Technologies #2 (Morgan &
Claypool Publishers), 2009, 127 pages
Dependency-based methods for syntactic parsing have become
increasingly popular in natural language processing in recent years.
This book gives a thorough introduction to the methods that are most
widely used today. After an introduction to dependency grammar and
dependency parsing, followed by a formal characterization of the
dependency parsing problem, the book surveys the three major classes
of parsing models that are in current use: transition-based, graph-
based, and grammar-based models. It continues with a chapter on
evaluation and one on the comparison of different methods, and it
closes with a few words on current trends and future prospects of
dependency parsing. The book presupposes a knowledge of basic concepts
in linguistics and computer science, as well as some knowledge of
parsing methods for constituency-based representations.
Table of Contents: Introduction / Dependency Parsing / Transition-
Based Parsing / Graph-Based Parsing / Grammar-Based Parsing /
Evaluation / Comparison / Final Thoughts
http://dx.doi.org/10.2200/S00169ED1V01Y200901HLT002
This title is available online without charge to members of
institutions that that have licensed the Synthesis Digital Library of
Engineering and Computer Science. Members of licensing institutions
have unlimited access to download, save, and print the PDF without
restriction; use of the book as a course text is encouraged. To find
out whether your institution is a subscriber, visit <http://www.morganclaypool.com/page/licensed
>, or just click on the book's URL above from an institutional IP
address and attempt to download the PDF. Others may purchase the book
from this URL as a PDF download for US$30 or in print for US$40.
Printed copies are also available from Amazon and from booksellers
worldwide at approximately US$40 or local currency equivalent.
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