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Identification of Textual Contexts

  • Ovidiu Fortu
  • Dan Moldovan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3554)

Abstract

Contextual information plays a key role in the automatic interpretation of text. This paper is concerned with the identification of textual contexts. A context taxonomy is introduced first, followed by an algorithm for detecting context boundaries. Experiments on the detection of subjective contexts using a machine learning model were performed using a set of syntactic features.

Keywords

Subjective Context Computational Linguistics Machine Learning Model Syntactic Feature Marker Movement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Ovidiu Fortu
    • 1
  • Dan Moldovan
    • 1
  1. 1.Department of Computer Science, University of Texas at DallasHuman Language Technology Research Institute,University of Texas At DallasRichardson

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