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 unit. It...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Mehler, Alexander (Editor), Kühnberger, Kai-Uwe (Editor), Lobin, Henning (Editor), Lüngen, Harald (Editor), Storrer, Angelika (Editor), Witt, Andreas (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
Series:Studies in Computational Intelligence, 370
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.