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From syntactical analysis to textual segmentation
Ana Luisa Leal1; Paulo Quaresma1; Rove Chishman2
2006
Conference Name7th International Workshop on Computational Processing of the Portuguese Language
Source PublicationComputational Processing of the Portuguese Language
Volume3960
Pages252-255
Conference DateMay 13-17, 2006
Conference PlaceItatiaia, Brazil
Publication PlaceGermany
PublisherSpringer-Verlag Berlin Heidelberg
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.

DOI10.1007/11751984_33
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000237665800033
Scopus ID2-s2.0-33745856200
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Document TypeConference paper
CollectionFaculty of Arts and Humanities
DEPARTMENT OF PORTUGUESE
Affiliation1.Departamento de Informática, Universidade de Évora, Portugal
2.UNISINOS – Universidade do Vale do Rio de Sinos, S. Leopoldo, Brasil
Recommended Citation
GB/T 7714
Ana Luisa Leal,Paulo Quaresma,Rove Chishman. From syntactical analysis to textual segmentation[C], Germany:Springer-Verlag Berlin Heidelberg, 2006, 252-255.
APA Ana Luisa Leal., Paulo Quaresma., & Rove Chishman (2006). From syntactical analysis to textual segmentation. Computational Processing of the Portuguese Language, 3960, 252-255.
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