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Publicaciones
Proyecto de fin de carrera
On-Demand code management for mobile and embedded devices under Linux.
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Si pensamos en un futuro totalmente interconectado, con cada vez más dispositivos
móviles complejos, disponer de una plataforma remota desde la cual poder descargar y almacenar
código y datos de programas puede establecer las bases para la ubicuidad de programas
y dispositivos.
Este proyecto demuestra que es posible la ejecución de programas con su código y datos
gestionados remotamente bajo demanda. Muestra también las ventajas e inconvenientes de este
modo de ejecución.
Artículos de investigación
BEL, N.; MARIMON, M.; ESPEJA, S.; SEGHEZZI, N. "The Spanish Resource Grammar: Pre-processing Strategy and Lexical Acquisition"
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This paper describes work on the development of an open-source HPSG grammar for Spanish implemented within the LKB system.
Following a brief description of the main features of the grammar, we present our approach for pre-processing and ongoing
research on automatic lexical acquisition
BEL, N.; ESPEJA, S.; MARIMON, M. "Automatic Acquisition of Grammatical Types for Nouns"
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The work we present here is concerned with the acquisition of deep grammatical information for nouns in Spanish.
The aim is to build a learner that can handle noise, but, more interestingly, that is able to overcome the problem of
sparse data, especially important in the case of nouns. We have based our work on two main points.
Firstly, we have used distributional evidences as features. Secondly, we made the learner deal with all occurrences of a word as a
single complex unit. The obtained results show that grammatical features of nouns is a level of generalization that can be
successfully approached with a Decision Tree learner.
BEL, N.; MARIMON, M.; ESPEJA, S. "New tools for the encoding of lexical data extracted from corpus"
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This paper describes the methodology and tools that are the basis of our platform AAILE.
AAILE has been built for supplying those working in the construction of lexicons for syntactic
parsing with more efficient ways of visualizing and analyzing data extracted from corpus.
The platform offers support using techniques such as similarity measures, clustering and
pattern classification.