Automatic indexing and abstracting of document texts /

Automatic Indexing and Abstracting of Document Texts summarizes the latest techniques of automatic indexing and abstracting, and the results of their application. It also places the techniques in the context of the study of text, manual indexing and abstracting, and the use of the indexing descripti...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Moens, Marie-Francine, 1957-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : Kluwer Academic Publishers, ©2000.
Colección:Kluwer international series on information retrieval ; 6.
Temas:
Automatic indexing.
Automatic abstracting.
Indexation automatique.
Résumés automatiques.
LANGUAGE ARTS & DISCIPLINES > Library & Information Science > Cataloging & Classification.
Automatic abstracting
Automatic indexing
Biblioteksvæsen, informations- og kommunikationsvidenskab > Biblioteksvæsen, informations- og kommunikationsvidenskab.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Table of Contents
  • Preface
  • Acknowledgements
  • Part I The Indexing and Abstracting Environment
  • Chapter 1. The Need for Indexing and Abstracting Texts
  • 1. Introduction
  • 2. Electronic Documents
  • 3. Communication through Natural Language Text
  • 4 .Understanding of Natural Language Text: The Cognitive Process
  • 5. Understanding of Natural Language Text: The Automated Process
  • 6. Important Concepts in Information Retrievel and Selection
  • 7. General Sloutions to the Information Retreival Problem
  • 8. The Need for Better Automatic Indexing and Abstracting Techniques
  • Chapter 2. The Attributes of Text
  • 1. Introduction
  • 2. The Study of Text
  • 3. An Overview of Some Common Text Types
  • 4. Text Described at a Micro Level
  • 5. Text Described at a Macro Level
  • 6. Conclusions
  • Chapter 3. Text Representations and Their Use
  • 1. Introduction
  • 2. Definitions
  • 3. Representations that Characterize the Content of Text
  • 4. Intellectual Indexing and Abstracting
  • 5. Use of the Text Representations
  • 6. A Note about the Storage of Text Representations
  • 7. Characteristics of Good Text Representations
  • 8. Conclusions
  • Part II Methods of Automatic Indexing and Abstracting
  • Chapter 4. Automatic Indexing: The Selection of Natural Language Index Terms
  • 1. Introduction
  • 2. A Note about Evaluation
  • 3. Lexical Analysis
  • 4. Use of a Stoplist
  • 5. Stemming
  • 6. The Selection of Phrases
  • 7. Index Term Weighting
  • 8. Alternative Procedures for Selecting Index Terms
  • 9. Selection of Natural Language Index Terms: Accomplishments and Problems
  • 10. Conclusions
  • Chapter 5. Automatic Indexing: The Assigment of Controlled Language Index Terms
  • 1. Introduction
  • 2. A Note about Evaluation
  • 3. Thesaurus Terms
  • 4. Subject and Classification Codes
  • 5. Learning Approaches to Text Categorization
  • 6. Assignment of Controlled Language Index Terms: Accomplishments and Problems
  • 7. Conclusions
  • Chapter 6. Automatic Abstracting: The Creation of Text Summaries
  • 1. Introduction
  • 2. A Note about Evaluation
  • 3. The Text Analysis Step
  • 4. The Transformation Step
  • 5. Generation of the Abstract
  • 6. Text Abstracting: Accomplishments and Problems
  • 7. Conclusions
  • Part III Applications
  • Chapter 7. Text Structuring and Categorization when Summarizing Legal Cases
  • 1. Introduction
  • 2. Text Corpus and Output of the System
  • 3. Methods: The Use of a Text Grammar
  • 4. Results and Discussion
  • 5. Contributions of the Research
  • 6. Conclusions
  • Chapter 8. Clustering of Paragraphs when Summarizing Legal Cases
  • 1. Introduction
  • 2. Text Corpus and Output of the System
  • 3. Methods: The Clustering Techniques
  • 4. Results and Discussion
  • 5. Contributions of the Research
  • 6. Conclusions
  • Chapter 9. The Creation of Highlight Abstracts of Magazine Articles
  • 1. Introduction
  • 2. Text Corpus and Output of the System
  • 3. Methods: The Use of a Text Grammar
  • 4. Results and Discussion
  • 5. Contributions of the Research
  • 6. Conclusions
  • Chapter 10. The Assignment of Subject Descriptors to Ma.

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