Automatic summarization
Author(s)
Bibliographic Information
Automatic summarization
（Natural language processing, 3）
John Benjamins Publishing Company, c2001
- : Eur : Hb
- : Eur : Pb
- : US : Hb
- : US : Pb
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Note
Includes bibliographical references (p. [263]-277) and index
Description and Table of Contents
Description
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.Audience: students and researchers, as well as information technology managers, librarians, and anyone else interested in the subject.
Table of Contents
- 1. Preface
- 2. Preliminaries
- 3. Professional summarizing
- 4. Extraction
- 5. Revision
- 6. Discourse-level information
- 7. Abstraction
- 8. Multi-document summarization
- 9. Multimedia summarization
- 10. Evaluation
- 11. Postscript
- 12. References
- 13. Index
by "Nielsen BookData"
