Advances in automatic text summarization /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Mani, Inderjeet, Maybury, Mark T.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, Mass. : MIT Press, ©1999.
Temas:
Automatic abstracting.
Computational linguistics.
Résumés automatiques.
Linguistique informatique.
computational linguistics.
LANGUAGE ARTS & DISCIPLINES > Library & Information Science > General.
Automatic abstracting
Computational linguistics
Automatisering.
Abstracting.
Languages & Literatures.
Philology & Linguistics.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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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