Abstract
Current Information Extraction (IE) systems extract, in most cases, fixed information from documents [1,2]. This information pertains only to four distinct tasks: named entity recognition, coreference identification, template elements filling, and scenario-based template elements filling. Thus, providing these systems with the capability of locating stylistic features in a text and thus detecting its genre, it would be possible to meet specific user interests. For instance, users are often looking for texts on a certain topic with particular, quite narrow generic properties, such as authoritatively written documents, opinion pieces, scientific articles, and so on.
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© 1999 Springer Science+Business Media Dordrecht
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Michos, S.E., Fakotakis, N., Kokkinakis, G. (1999). Using Functional Style Features to Enhance Information Extraction from Greek Texts. In: Tzafestas, S.G. (eds) Advances in Intelligent Systems. International Series on Microprocessor-Based and Intelligent Systems Engineering, vol 21. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4840-5_13
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DOI: https://doi.org/10.1007/978-94-011-4840-5_13
Publisher Name: Springer, Dordrecht
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