Identification of textual contexts

Authors:
Ovidiu Fortu;Dan Moldovan
Affiliations:
Department of Computer Science, University of Texas at Dallas, Human Language Technology Research Institute,University of Texas At Dallas, Richardson, TX;Department of Computer Science, University of Texas at Dallas, Human Language Technology Research Institute,University of Texas At Dallas, Richardson, TX
Venue:
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
Year:
2005

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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.