Overview
- Leading scientists guide the reader through the process of modeling a phenomenon, creating an annotation language, building a corpus, and evaluating it for correctness
- Offers a thorough treatment of the science of annotation with clearly defined methodology
- Aimed at and accessible for both computer scientists and linguistic researchers
- Includes supplementary material: sn.pub/extras
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Table of contents (55 chapters)
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Front Matter
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The Science of Annotation
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Front Matter
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Case Studies
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Front Matter
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Keywords
About this book
Linguistic annotation is an increasingly important activity in the field of computational linguistics because of its critical role in the development of language models for natural language processing applications. Part one of this book covers all phases of the linguistic annotation process, from annotation scheme design and choice of representation format through both the manual and automatic annotation process, evaluation, and iterative improvement of annotation accuracy. The second part of the book includes case studies of annotation projects across the spectrum of linguistic annotation types, including morpho-syntactic tagging, syntactic analyses, a range of semantic analyses (semantic roles, named entities, sentiment and opinion), time and event and spatial analyses, and discourse level analyses including discourse structure, co-reference, etc. Each case study addresses the various phases and processes discussed in the chapters of part one.
Reviews
“Handbook of Linguistic Annotation is worth reading in that this volume presents a spate of annotation projects … . This book includes a detailed introduction to a wealth of linguistic annotated resources and is worthy of recommendation for researchers of Quantitative Linguistics because these resources can either be used as direct sources for future quantitative studies or offer various choices on the annotation patterns.” (Peng Bi, Journal of Quantitative Linguistics, January, 2018)
Editors and Affiliations
About the editors
James Pustejovsky is the TJX Feldberg professor of computer science at Brandeis University in Waltham, Massachusetts, United States. His expertise includes theoretical and computational modeling of language, specifically: Computational linguistics, Lexical semantics, Knowledge representation, temporal and spatial reasoning and Extraction. His main topics of research are Natural language processing generally, and in particular, the computational analysis of linguistic meaning. He proposed Generative Lexicon theory in lexical semantics. His other interests include temporal reasoning, event semantics, spatial language, language annotation, computational linguistics, and machine learning.
Bibliographic Information
Book Title: Handbook of Linguistic Annotation
Editors: Nancy Ide, James Pustejovsky
DOI: https://doi.org/10.1007/978-94-024-0881-2
Publisher: Springer Dordrecht
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: Springer Science+Business Media Dordrecht 2017
Hardcover ISBN: 978-94-024-0879-9Published: 29 June 2017
Softcover ISBN: 978-94-024-1426-4Published: 06 September 2018
eBook ISBN: 978-94-024-0881-2Published: 16 June 2017
Edition Number: 1
Number of Pages: IX, 1459
Number of Illustrations: 264 b/w illustrations
Topics: Computational Linguistics, Computer Appl. in Arts and Humanities, Database Management, User Interfaces and Human Computer Interaction