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Advances in automatic text summarization / edited by Inderjeet Mani and Mark T. Maybury.

Contributor(s): Material type: TextTextPublication details: Cambridge, Mass. : MIT Press, �1999.Description: 1 online resource (xv, 434 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0585070164
  • 9780585070162
  • 0262279029
  • 9780262279024
Subject(s): Genre/Form: Additional physical formats: Print version:: Advances in automatic text summarization.DDC classification:
  • 025.4/0285 21
LOC classification:
  • P98.5.A87 A34 1999eb
Online resources:
Contents:
Preface -- Introduction ; 1. Automatic summarizing: Factors and directions -- Section 1: The classical approaches ; 2. The automatic creation of literature abstracts ; 3. New methods in automatic extracting ; 4. Automatic abstracting research at chemical abstracts service -- Section 2: Corpus-based approaches ; 5. A trainable document summarizer ; 6. Development and evaluation of a statistically based document summarization system ; 7. A trainable summarizer with knowledge acquired from robust NLP techniques ; 8. Automated text summarization in SUMMARIST E. -- Section 3: Exploiting discourse structure ; 9. Salience-based content characterization of text documents ; 10. Using lexical chains for text summarization ; 11. Discourse, trees are good indicators of importance in text ; 12. A robust practical text summarizer ; 13. Argumentative classification of extracted sentences as a first step towards flexible abstracting -- Section 4: Knowledge-rich approaches ; 14. Plot units: A narrative summarization strategy ; 15. Knowledge-based text summarization: Salience and generalization operators for knowledge base abstraction ; 16. Generating concise natural language summaries ; 17. Generating summaries from event data -- Section 5: Evaluation methods ; 18. The formation of abstracts by the selection of sentences ; 19. Automatic condensation of electronic publications by sentence selection ; 20. The effects and limitations of automated text condensing on reading comprehension performance ; 21. An evaluation of automatic text summarization systems -- Section 6: New summarization problem areas ; 22. Automatic text structuring and summarization ; 23. Summarizing similarities and differences among related documents ; 24. Generating summaries of multiple news articles ; 25. An empirical study of the optimal presentation of multimedia summaries of broadcast news ; 26. Summarization of diagrams in documents -- Index.
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Includes bibliographical references and index.

Preface -- Introduction ; 1. Automatic summarizing: Factors and directions -- Section 1: The classical approaches ; 2. The automatic creation of literature abstracts ; 3. New methods in automatic extracting ; 4. Automatic abstracting research at chemical abstracts service -- Section 2: Corpus-based approaches ; 5. A trainable document summarizer ; 6. Development and evaluation of a statistically based document summarization system ; 7. A trainable summarizer with knowledge acquired from robust NLP techniques ; 8. Automated text summarization in SUMMARIST E. -- Section 3: Exploiting discourse structure ; 9. Salience-based content characterization of text documents ; 10. Using lexical chains for text summarization ; 11. Discourse, trees are good indicators of importance in text ; 12. A robust practical text summarizer ; 13. Argumentative classification of extracted sentences as a first step towards flexible abstracting -- Section 4: Knowledge-rich approaches ; 14. Plot units: A narrative summarization strategy ; 15. Knowledge-based text summarization: Salience and generalization operators for knowledge base abstraction ; 16. Generating concise natural language summaries ; 17. Generating summaries from event data -- Section 5: Evaluation methods ; 18. The formation of abstracts by the selection of sentences ; 19. Automatic condensation of electronic publications by sentence selection ; 20. The effects and limitations of automated text condensing on reading comprehension performance ; 21. An evaluation of automatic text summarization systems -- Section 6: New summarization problem areas ; 22. Automatic text structuring and summarization ; 23. Summarizing similarities and differences among related documents ; 24. Generating summaries of multiple news articles ; 25. An empirical study of the optimal presentation of multimedia summaries of broadcast news ; 26. Summarization of diagrams in documents -- Index.

Print version record.

English.

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