Automatic text analysis: gradations of text types in web pages

Santini, M (2005) Automatic text analysis: gradations of text types in web pages In: Proceedings of the 10th ESSLLI student session, 8-19 Aug 2005, Edinburgh, UK.

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Abstract

In this paper we present a first implementation of a linguistic expert system, which combines Bayesian inference and the knowledge of a domain expert, the linguist. The system is capable of automatically deriving the gradations of four text types -- descriptive/narrative, explicatory/informational, argumentative/persuasive, instructional -- from web pages. The evaluation of the system against human assessment shows that the system is effective and promising.

Item Type: Contribution to conference proceedings in the public domain ( Full Paper)
Additional Information: Item is freely available at: http://people.sissa.it/~gervain/ProceedingsPages145-296.pdf
Subjects: G000 Computing and Mathematical Sciences
Faculties: Faculty of Science and Engineering > School of Computing, Engineering and Mathematics
Depositing User: Helen Webb
Date Deposited: 21 Aug 2009
Last Modified: 18 Jun 2010 11:33
URI: http://eprints.brighton.ac.uk/id/eprint/2839

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