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Título

Text Representation by a Computational Model of Reading

AutorSerrano Moreno, José Ignacio; Castillo Sobrino, María Dolores del
Fecha de publicaciónoct-2006
EditorSpringer
CitaciónNeural Information Processing
Lecture Notes in Computer Science 4232, pp.237-246, 2006
ResumenAbstract. Traditional document indexing methods, although useful, do not take into account some important aspects of language, such as syntax and semantics. Unlikely, semantic hyperspaces are mathematical and statistical-based techniques that do it. However, although they are an improvement on traditional methods, the output representation is still vector like. This paper proposes a computational model of text reading, called Cognitive Reading Indexing (CRIM), inspired by some aspects of human reading cognition, such as sequential perception, temporality, memory, forgetting and inferences. The model produces not vectors but nets of activated concepts. This paper is focused on indexing or representing documents that way so that they can be labeled or retrieved, presenting promising results. The system was applied to model human subjects as well, and some interesting results were obtained.
Versión del editorhttp://www.springerlink.com/content/tvk66403wqk21088/?p=84f7256c2e26425dbc7abbfee9ae67d7&pi=2
URIhttp://hdl.handle.net/10261/21708
DOI10.1007/11893028
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