Overview
- Gives a comprehensive look at current approaches to automated question answering
- Suitable for newcomers to the field and also professionals wishing to study in this area
- Will provide the readers with in-depth practical knowledge of this critical new technology
Part of the book series: Text, Speech and Language Technology (TLTB, volume 32)
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Table of contents (18 chapters)
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Approaches to Question Answering
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Question Answering as Information Retrieval
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Evaluating Question Answering Systems
Keywords
About this book
Automated question answering - the ability of a machine to answer questions, simple or complex, posed in ordinary human language - is one of today’s most exciting technological developments. It has all the markings of a disruptive technology, one that is poised to displace the existing search methods and establish new standards for user-centered access to information. This book gives a comprehensive and detailed look at the current approaches to automated question answering. The level of presentation is suitable for newcomers to the field as well as for professionals wishing to study this area and/or to build practical QA systems. The book can serve as a "how-to" handbook for IT practitioners and system developers. It can also be used to teach advanced graduate courses in Computer Science, Information Science and related disciplines. The readers will acquire in-depth practical knowledge of this critical new technology.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Open Domain Question Answering
Editors: Tomek Strzalkowski, Sanda M. Harabagiu
Series Title: Text, Speech and Language Technology
DOI: https://doi.org/10.1007/978-1-4020-4746-6
Publisher: Springer Dordrecht
eBook Packages: Humanities, Social Sciences and Law, Social Sciences (R0)
Copyright Information: Springer Science+Business Media B.V. 2008
Hardcover ISBN: 978-1-4020-4744-2Published: 28 September 2006
Softcover ISBN: 978-1-4020-4745-9Published: 26 November 2007
eBook ISBN: 978-1-4020-4746-6Published: 07 October 2006
Series ISSN: 1386-291X
Series E-ISSN: 2542-9388
Edition Number: 1
Number of Pages: XXVI, 568
Topics: Computational Linguistics, Linguistics, general, Artificial Intelligence