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Arabic named entity recognition

Authors: Benajiba, Yassine;

Arabic named entity recognition

Abstract

Tesis doctoral en Informática realizada por Yassine Benajiba y dirigida por el doctor Paolo Rosso (Univ. Politécnica de Valencia). El acto de defensa de tesis tuvo lugar en Valencia en Mayo de 2009 ante el tribunal formado por los doctores Felisa Verdejo (UNED), Mona Diab (Columbia Univ.), Imed Zitouni (IBM T.J. Watson Research Center), Horacio Rodríguez (Univ. Politécnica de Cataluña) y Encarna Segarra (Univ. Politécnica de Valencia). La calificación obtenida fue Sobresaliente Cum Laude.

PhD thesis in Computer Science written by Yassine Benajiba under the supervision of Dr Paolo Rosso (Univ. Politécnica de Valencia). The author was examined in May 2009 in Valencia by the committee formed by Felisa Verdejo (UNED), Mona Diab (Columbia Univ.), Imed Zitouni (IBM T.J. Watson Research Center), Horacio Rodríguez (Univ. Politécnica de Cataluña) and Encarna Segarra (Univ. Politécnica de Valencia). The grade obtained was Cum Laude.

This PhD thesis was supported by an AECI scholarship.

Keywords

Extracción de información, Named entity recognition, Information extraction, Reconocimiento de entidades nombradas, Procesamiento de idiomas con morfología compleja, Lenguajes y Sistemas Informáticos, Complex morphology languages processing

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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!
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