Overview
- Collects 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 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
Part of the book series: Text, Speech and Language Technology (TLTB, volume 43)
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Table of contents (16 chapters)
Keywords
About this book
Editors and Affiliations
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
DOI: https://doi.org/10.1007/978-90-481-9352-3
Publisher: Springer Dordrecht
eBook Packages: Humanities, Social Sciences and Law, Social Sciences (R0)
Copyright Information: Springer Science+Business Media B.V. 2010
Hardcover ISBN: 978-90-481-9351-6Published: 14 October 2010
Softcover ISBN: 978-94-007-3379-4Published: 06 December 2012
eBook ISBN: 978-90-481-9352-3Published: 06 October 2010
Series ISSN: 1386-291X
Series E-ISSN: 2542-9388
Edition Number: 1
Number of Pages: X, 298
Topics: Computational Linguistics, Natural Language Processing (NLP)