Abstract
In this work a proposal for automatic textual segmentation is described. The proposal uses the output of an automatic syntactic analyzer – Parser Palavras – to create textual segmentation. Parse trees are used to infer text segments and a dependency tree of the identified segments. The main contribution of this work is the use of the syntactic structure as source for the automatic segmentation of texts, as well, as the use of inference rules for the textual organization.
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References
Bick, E.: The Parsing System ”Palavras”. Automatic Grammatical Analysis of Portuguese in a Constraint Grammar Framework. Aarhus University Press (2000)
Carlson, L., Marcu, D.: Discourse tagging reference manual. Technical Report 545, ISI Technical Report ISI-TR-545 (2001)
Mann, W., Thompson, S.: Rhetorical structure theory: toward a functional theory of text organization. Technical report, Technical ReportISI/RS-87-190 (1987)
Pardo, M., e Nunes, T.A.S.: Análise de discurso: Teorias discursivas e aplicações em processamento de línguas naturais. Technical Report 196, Instituto de Ciências Matemáticas e de Computação – Universidade de São Paulo (2003)
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© 2006 Springer-Verlag Berlin Heidelberg
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Leal, A.L., Quaresma, P., Chishman, R. (2006). From Syntactical Analysis to Textual Segmentation. In: Vieira, R., Quaresma, P., Nunes, M.d.G.V., Mamede, N.J., Oliveira, C., Dias, M.C. (eds) Computational Processing of the Portuguese Language. PROPOR 2006. Lecture Notes in Computer Science(), vol 3960. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751984_33
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DOI: https://doi.org/10.1007/11751984_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34045-4
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