Overview
- First book on this topic to comprehensively cover the state-of-the-art in detail in a single volume
- A major point reference for researchers and practitioners in this field
- A dedicated website for CFP, public relations, errata, etc. is provided
- Includes supplementary material: sn.pub/extras
Part of the book series: Theory and Applications of Natural Language Processing (NLP)
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Table of contents (13 chapters)
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Front Matter
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Approaches to Collaboratively Constructed Language Resources
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Front Matter
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Mining Knowledge from and Using Collaboratively Constructed Language Resources
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Front Matter
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Interconnecting and Managing Collaboratively Constructed Language Resources
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Front Matter
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Back Matter
Keywords
About this book
Collaboratively Constructed Language Resources (CCLRs) such as Wikipedia, Wiktionary, Linked Open Data, and various resources developed using crowdsourcing techniques such as Games with a Purpose and Mechanical Turk have substantially contributed to the research in natural language processing (NLP). Various NLP tasks utilize such resources to substitute for or supplement conventional lexical semantic resources and linguistically annotated corpora. These resources also provide an extensive body of texts from which valuable knowledge is mined. There are an increasing number of community efforts to link and maintain multiple linguistic resources.
This book aims offers comprehensive coverage of CCLR-related topics, including their construction, utilization in NLP tasks, and interlinkage and management. Various Bachelor/Master/Ph.D. programs in natural language processing, computational linguistics, and knowledge discovery can use this book both as the main text and as a supplementary reading. The book also provides a valuable reference guide for researchers and professionals for the above topics.
Editors and Affiliations
About the editors
Iryna Gurevych leads the UKP Lab in the Department of Computer Science of the Technische Universität Darmstadt (UKP-TUDA) and at the Institute for Educational Research and Educational Information (UKP-DIPF) in Frankfurt, Germany. She holds an endowed Lichtenberg-Chair "Ubiquitous Knowledge Processing" of the Volkswagen Foundation. Her research in NLP primarily concerns applied lexical semantic algorithms, such as computing semantic relatedness of words or paraphrase recognition, and their use to enhance the performance of NLP tasks, such as information retrieval, question answering, or summarization.
Jungi Kim is a postdoctoral researcher at UKP Lab in the Department of Computer Science of the Technische Universität Darmstadt, Germany (UKP-TUDA). His primary research interests are in semantic resources, algorithms, and evaluations for multilingual natural language processing. His previous research includes multilingual sentiment analysis, statistical machine translation, and various NLP topics involving multiple languages, especially East Asian languages.
Bibliographic Information
Book Title: The People’s Web Meets NLP
Book Subtitle: Collaboratively Constructed Language Resources
Editors: Iryna Gurevych, Jungi Kim
Series Title: Theory and Applications of Natural Language Processing
DOI: https://doi.org/10.1007/978-3-642-35085-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-35084-9Published: 17 April 2013
Softcover ISBN: 978-3-642-43839-4Published: 20 May 2015
eBook ISBN: 978-3-642-35085-6Published: 03 April 2013
Series ISSN: 2192-032X
Series E-ISSN: 2192-0338
Edition Number: 1
Number of Pages: XXIV, 378
Number of Illustrations: 70 b/w illustrations, 16 illustrations in colour
Topics: Computational Linguistics, Natural Language Processing (NLP), Natural Language Processing (NLP), Information Storage and Retrieval, Data Mining and Knowledge Discovery