Modeling, Learning, and Processing of Text-Technological Data Structures

Researchers in many disciplines have been concerned with modeling textual data in order to account for texts as the primary information unit of written communication. The book "Modelling, Learning and Processing of Text-Technological Data Structures" deals with this challenging information...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Mehler, Alexander (Editor ), Kühnberger, Kai-Uwe (Editor ), Lobin, Henning (Editor ), Lüngen, Harald (Editor ), Storrer, Angelika (Editor ), Witt, Andreas (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Studies in Computational Intelligence, 370
Temas:
Engineering mathematics.
Engineering-Data processing.
Natural language processing (Computer science).
Artificial intelligence.
Computational linguistics.
Mathematical and Computational Engineering Applications.
Natural Language Processing (NLP).
Artificial Intelligence.
Computational Linguistics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Part I Text Parsing: Data Structures, Architecture and Evaluation
  • Part II Measuring Semantic Distance: Methods, Resources, and Applications
  • Part III From Textual Data to Ontologies, from Ontologies to Textual Data
  • Part IV Multidimensional Representations: Solutions for Complex Markup
  • Part V Document Structure Learning
  • Part VI Interfacing Textual Data, Ontological Resources and Document Parsing.

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