
Overview
- This book is the long-awaited follow up to the successful first two books on computing meaning
- A collection of papers by outstanding researchers in the field of computational semantics
Part of the book series: Studies in Linguistics and Philosophy (SLAP, volume 83)
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About this book
This book provides an in-depth view of the current issues, problems and approaches in the computation of meaning as expressed in language. Aimed at linguists, computer scientists, and logicians with an interest in the computation of meaning, this book focuses on two main topics in recent research in computational semantics. The first topic is the definition and use of underspecified semantic representations, i.e. formal structures that represent part of the meaning of a linguistic object while leaving other parts unspecified. The second topic discussed is semantic annotation. Annotated corpora have become an indispensable resource both for linguists and for developers of language and speech technology, especially when used in combination with machine learning methods. The annotation in corpora has only marginally addressed semantic information, however, since semantic annotation methodologies are still in their infancy. This book discusses the development and application of such methodologies.
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Keywords
Table of contents (18 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Computing Meaning
Book Subtitle: Volume 3
Editors: Harry Bunt, Reinhard Muskens
Series Title: Studies in Linguistics and Philosophy
DOI: https://doi.org/10.1007/978-1-4020-5958-2
Publisher: Springer Dordrecht
eBook Packages: Humanities, Social Sciences and Law, Social Sciences (R0)
Copyright Information: Springer Science+Business Media B.V. 2007
Hardcover ISBN: 978-1-4020-5956-8Published: 04 August 2007
Softcover ISBN: 978-1-4020-5957-5Published: 03 July 2008
eBook ISBN: 978-1-4020-5958-2Published: 04 October 2007
Series ISSN: 0924-4662
Series E-ISSN: 2215-034X
Edition Number: 1
Number of Pages: VI, 477
Topics: Computational Linguistics, Natural Language Processing (NLP), Semantics, Artificial Intelligence