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.
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Fortu, O., Moldovan, D. (2005). Identification of Textual Contexts. In: Dey, A., Kokinov, B., Leake, D., Turner, R. (eds) Modeling and Using Context. CONTEXT 2005. Lecture Notes in Computer Science(), vol 3554. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11508373_13
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DOI: https://doi.org/10.1007/11508373_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26924-3
Online ISBN: 978-3-540-31890-3
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