Please use this identifier to cite or link to this item:
http://hdl.handle.net/10261/21708
Share/Export:
![]() |
|
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Title: | Text Representation by a Computational Model of Reading |
Authors: | Serrano Moreno, José Ignacio; Castillo Sobrino, María Dolores del | Issue Date: | Oct-2006 | Publisher: | Springer | Citation: | Neural Information Processing Lecture Notes in Computer Science 4232, pp.237-246, 2006 |
Abstract: | Abstract. 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. | Publisher version (URL): | http://www.springerlink.com/content/tvk66403wqk21088/?p=84f7256c2e26425dbc7abbfee9ae67d7&pi=2 | URI: | http://hdl.handle.net/10261/21708 | DOI: | 10.1007/11893028 |
Appears in Collections: | (IAI) Artículos |
Show full item record
Review this work
Page view(s)
339
checked on May 29, 2022
Download(s)
312
checked on May 29, 2022
Google ScholarTM
Check
Altmetric
Dimensions
WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.