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From Syntactical Analysis to Textual Segmentation

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Computational Processing of the Portuguese Language (PROPOR 2006)

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

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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

  • Online ISBN: 978-3-540-34046-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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