Automatic Indexing and Abstracting of Document Texts

  • Marie-Francine¬†Moens

Part of the The Information Retrieval Series book series (INRE, volume 6)

About this book

Introduction

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 descriptions and abstracts in systems that select documents or information from large collections. Important sections of the book consider the development of new techniques for indexing and abstracting. The techniques involve the following: using text grammars, learning of the themes of the texts including the identification of representative sentences or paragraphs by means of adequate cluster algorithms, and learning of classification patterns of texts. In addition, the book is an attempt to illuminate new avenues for future research.
Automatic Indexing and Abstracting of Document Texts is an excellent reference for researchers and professionals working in the field of content management and information retrieval.

Keywords

algorithms classification clustering control grammar information information retrieval knowledge learning natural language

Authors and affiliations

  • Marie-Francine¬†Moens
    • 1
  1. 1.Katholieke Universiteit LeuvenBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/b116177
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-7923-7793-1
  • Online ISBN 978-0-306-47017-2
  • Series Print ISSN 1387-5264
  • About this book
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