Automatic summarization

Inderjeet Mani

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.

「Nielsen BookData」より

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.

「Nielsen BookData」より

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.

「Nielsen BookData」より

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.

「Nielsen BookData」より

[目次]

  • 1. Preface, pix-xi
  • 2. Preliminaries, p1-25
  • 3. Professional summarizing, p27-44
  • 4. Extraction, p45-75
  • 5. Revision, p77-90
  • 6. Discourse-level information, p91-128
  • 7. Abstraction, p129-167
  • 8. Multi-document summarization, p169-208
  • 9. Multimedia summarization, p209-220
  • 10. Evaluation, p221-259
  • 11. Postscript, p261-262
  • 12. References, p263-277
  • 13. Index, p279-285

「Nielsen BookData」より

[目次]

  • 1. Preface, pix-xi
  • 2. Preliminaries, p1-25
  • 3. Professional summarizing, p27-44
  • 4. Extraction, p45-75
  • 5. Revision, p77-90
  • 6. Discourse-level information, p91-128
  • 7. Abstraction, p129-167
  • 8. Multi-document summarization, p169-208
  • 9. Multimedia summarization, p209-220
  • 10. Evaluation, p221-259
  • 11. Postscript, p261-262
  • 12. References, p263-277
  • 13. Index, p279-285

「Nielsen BookData」より

[目次]

  • 1. Preface, pix-xi
  • 2. Preliminaries, p1-25
  • 3. Professional summarizing, p27-44
  • 4. Extraction, p45-75
  • 5. Revision, p77-90
  • 6. Discourse-level information, p91-128
  • 7. Abstraction, p129-167
  • 8. Multi-document summarization, p169-208
  • 9. Multimedia summarization, p209-220
  • 10. Evaluation, p221-259
  • 11. Postscript, p261-262
  • 12. References, p263-277
  • 13. Index, p279-285

「Nielsen BookData」より

[目次]

  • 1. Preface, pix-xi
  • 2. Preliminaries, p1-25
  • 3. Professional summarizing, p27-44
  • 4. Extraction, p45-75
  • 5. Revision, p77-90
  • 6. Discourse-level information, p91-128
  • 7. Abstraction, p129-167
  • 8. Multi-document summarization, p169-208
  • 9. Multimedia summarization, p209-220
  • 10. Evaluation, p221-259
  • 11. Postscript, p261-262
  • 12. References, p263-277
  • 13. Index, p279-285

「Nielsen BookData」より

この本の情報

書名 Automatic summarization
著作者等 Mani, Inderjeet
シリーズ名 Natural language processing
出版元 John Benjamins Publishing Company
刊行年月 c2001
ページ数 xi, 285 p.
大きさ ill. ; 23 cm
ISBN 1588110591
1588110605
9027249865
9027249857
NCID BA54217859
※クリックでCiNii Booksを表示
言語 英語
出版国 オランダ
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