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Article . 2009
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Arquitectura multilingüe de sistemas de búsqueda de respuestas basada en ILI y Wikipedia

Authors: Sergio Ferrández;

Arquitectura multilingüe de sistemas de búsqueda de respuestas basada en ILI y Wikipedia

Abstract

Tesis doctoral en Informática realizada en la U. Alicante (UA) por Sergio Ferrández bajo la dirección de Antonio Ferrández. La defensa de la tesis tuvo lugar ante un tribunal formado por los doctores Manuel Palomar (UA), Rafael Muñoz (UA), Paolo Rosso (UPV), Horacio Rodríguez (UPC) y María Teresa Martín (UJ) el 30 de junio de 2008. Calificación: Sobresaliente Cum Laude por unanimidad.

PhD Tesis in Computer Science written by Sergio Ferrández under the supervision of Dr. Antonio Ferrández. The author was examined in June 30, 2008 by the committee formed by doctors Manuel Palomar (UA), Rafael Muñoz (UA), Paolo Rosso (UPV), Horacio Rodríguez (UPC), and María Teresa Martín (UJ). Grade: Sobresaliente Cum Laude unanimously.

Esta investigación ha sido parcialmente financiada bajo los proyectos QALL-ME, dentro del Sexto Programa Marco de Investigación de la Unión Europea con referencia FP6-IST-033860, y TEX–MESS, CICyT número TIN2006-15265-C06-01.

Related Organizations
Keywords

Búsqueda de respuestas multilingüe, Lenguajes y Sistemas Informáticos, Cross-lingual question answering, ILI, Wikipedia

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green