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Information Extraction

Towards Scalable, Adaptable Systems

  • Maria Teresa Pazienza
Conference proceedings SCIE 1999

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1714)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1714)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Yorick Wilks, Roberta Catizone
    Pages 1-16
  3. Jean-Pierre Chanod
    Pages 17-31
  4. Verónica Dahl
    Pages 49-75
  5. John F. Sowa
    Pages 76-94
  6. Marc Vilain
    Pages 95-119
  7. Harold Somers
    Pages 120-133
  8. Roberto Basili, Massimo Di Nanni, Maria Teresa Pazienza
    Pages 134-164
  9. Back Matter
    Pages 165-165

About these proceedings

Introduction

Information extraction (IE) is a new technology enabling relevant content to be extracted from textual information available electronically. IE essentially builds on natural language processing and computational linguistics, but it is also closely related to the well established area of information retrieval and involves learning. In concert with other promising intelligent information processing technologies like data mining, intelligent data analysis, text summarization, and information agents, IE plays a crucial role in dealing with the vast amounts of information accessible electronically, for example from the Internet. The book is based on the Second International School on Information Extraction, SCIE-99, held in Frascati near Rome, Italy in June/July 1999.

Keywords

computational linguistics content summarizing data analysis data mining digital libraries inference information retrieval knowledge extraction systems learning linguistics natural language

Editors and affiliations

  • Maria Teresa Pazienza
    • 1
  1. 1.Department of Computer Science, Systems and ProductionUniversity of RomaVia di Tor VergataItaly

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-48089-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 1999
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-66625-7
  • Online ISBN 978-3-540-48089-1
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site