With the explosion in the quantity of on-line text and multimedia information in recent years, there has been a renewed interest in automatic summarization. This book provides a systematic introduction to the field, explaining basic definitions, the strategies used by human summarizers, and automatic methods that leverage linguistic and statistical knowledge to produce extracts and abstracts. Drawing from a wealth of research in artificial intelligence, natural language processing, and information retrieval, the book also includes detailed assessments of evaluation methods and new topics such as multi-document and multimedia summarization. Previous automatic summarization books have been either collections of specialized papers, or else authored books with only a chapter or two devoted to the field as a whole. This is the first textbook on the subject, developed based on teaching materials used in two one-semester courses. To further help the student reader, the book includes detailed case studies, accompanied by end-of-chapter reviews and an extensive glossary.
Professional Reviews
Machine Translation journal
Mani thoroughly analyzes a diverse body of research and demonstrates its relevance to automatic text summarization, and he presents this information in an extended, or organized format. As a first step toward providing a systematic introduction to this increasingly important and rapidly evolving field, this book represents a valuable contribution to the literature.”
Shirley J. Linicum in Journal of the American Society for Information Science and Technology, March 2002
“For researchers in the field of machine translation, this book provides a sufficient introduction to summarization to enable them to begin work in cross-lingual summarization.
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Hal Daumé III, in Machine Translation, Spring 2004
Computational Linguistics journal
“Since this is the only textbook in its field, it will probably become required reading for new researchers, who will assume that it provides a full and balanced view...the book certainly provides a timely and informative overview of automatic summarization, and all researchers with an interest in this important field will wish to have it on their bookshelf.”
Chris Paice in Computational Linguistics, 2002
LINGUIST list
“[...] there are no other obvious candidates for comparison as a textbook on automatic document summarization.”
Michael McQuaid, Center for the Management of Information, University of Arizona in LINGUIST List: Vol-13-183, 2002
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