Information Extraction: Algorithms and Prospects in a Retrieval Context

Information extraction regards the processes of structuring and combining content that is explicitly stated or implied in one or multiple unstructured information sources. It involves a semantic classification and linking of certain pieces of information and is considered as a light form of content...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Moens, Marie-Francine (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:The Information Retrieval Series, 21
Temas:
Library science.
Information storage and retrieval systems.
Artificial intelligence.
Natural language processing (Computer science).
Pattern recognition systems.
Computer industry.
Library Science.
Information Storage and Retrieval.
Artificial Intelligence.
Natural Language Processing (NLP).
Automated Pattern Recognition.
The Computer Industry.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Information Extraction and Information Technology
  • Information Extraction from an Historical Perspective
  • The Symbolic Techniques
  • Pattern Recognition
  • Supervised Classification
  • Unsupervised Classification Aids
  • Integration of Information Extraction in Retrieval Models
  • Evaluation of Information Extraction Technologies
  • Case Studies
  • The Future of Information Extraction in a Retrieval Context.

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