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A fine-grained recognition of Named Entities in ELTeC collection using cascades
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In: Final Action Event of COST Action Distant Reading for European Literary History ; https://hal.archives-ouvertes.fr/hal-03615219 ; Final Action Event of COST Action Distant Reading for European Literary History, Christof Schöch, Apr 2022, Krakow, Poland ; https://www.distant-reading.net/events/conference-programme/ (2022)
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UNITEX 3.3 User Manual
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In: https://hal.archives-ouvertes.fr/hal-03589580 ; 2021 (2021)
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UNITEX 3.3 Manuel d'utilisation
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In: https://hal.archives-ouvertes.fr/hal-03589598 ; 2021 (2021)
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Mise en ligne de la cascade CasEN de recherche d’entités nommées en français (1.1), version TEI
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In: https://hal.archives-ouvertes.fr/hal-01764756 ; 2018, http://tln.li.univ-tours.fr/Tln_CasEN.html (2018)
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Serbian Language Integration in Prolexbase Multilingual Dictionary
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In: ISSN: 1450-9687 ; EISSN: 2217-9461 ; INFOtheca : Journal of Information and Library Science ; https://hal.archives-ouvertes.fr/hal-02050875 ; INFOtheca : Journal of Information and Library Science, Serbian Academic Library Association, 2018, 18 (2), pp.29-52 ; https://infoteka.bg.ac.rs/ojs/index.php/Infoteka/article/view/2018.18.2.2_en/143 (2018)
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ASRextractor: A Tool extracting Semantic Relations between Arabic Named Entities
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In: 3rd International Conference on Arabic Computational Linguistics (ACLing 2017) ; https://hal-univ-tours.archives-ouvertes.fr/hal-01632858 ; 3rd International Conference on Arabic Computational Linguistics (ACLing 2017), Nov 2017, Dubai, United Arab Emirates ; http://acling2017.org/ (2017)
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CasANER: Arabic Named Entity Recognition Tool
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In: Intelligent Natural Language Processing: Trends and Applications ; https://hal.archives-ouvertes.fr/hal-01643271 ; Shaalan K., Hassanien A., Tolba F. Intelligent Natural Language Processing: Trends and Applications, Springer, Cham, pp.173-198, 2017, Studies in Computational Intelligence, 978-3-319-67055-3 (2017)
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Extraction of Semantic Relation between Arabic Named Entities Using Different Kinds of Transducer Cascades
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In: 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2017) ; https://hal.archives-ouvertes.fr/hal-01491290 ; 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2017), Apr 2017, Budapest, Hungary ; http://www.cicling.org/2017/ (2017)
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A Semi-automatic and Low Cost Approach to Build Scalable Lemma-based Lexical Resources for Arabic Verbs
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In: International Journal of Information Technology and Computer Science(IJITCS) ; https://hal.archives-ouvertes.fr/hal-01270974 ; International Journal of Information Technology and Computer Science(IJITCS), IJIT, 2016, 8 (2), pp.1-13 ; http://www.mecs-press.org/ijitcs/ijitcs-v8-n2/IJITCS-V8-N2-1.pdf (2016)
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Covering various Needs in Temporal Annotation: a Proposal of Extension of ISO TimeML that Preserves Upward Compatibility
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In: LREC 2016 proceedings ; LREC 2016 ; https://halshs.archives-ouvertes.fr/halshs-01318792 ; LREC 2016, May 2016, Portorož Slovenia (2016)
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Estimate the notoriety of a Proper name using Wikipedia ; Estimer la notoriété d’un nom propre via Wikipedia
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In: TALN 2016 ; https://hal.archives-ouvertes.fr/hal-01455571 ; TALN 2016, Jul 2016, Paris, France ; https://jep-taln2016.limsi.fr/actes/Actes%20JTR-2016/V02-TALN.pdf (2016)
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Abstract:
National audience ; This paper proposes to use Wikipedia for calculating the notoriety of the entries of Prolexbase, a multilingual relational dictionary of proper names. This notoriety is language dependent. It will be a first step in the construction of an Arabic module of Prolexbase, it also will take part to the notoriety revision currently present for the other languages in the database. To calculate the notoriety, we present a multi criteria technique, the method SAW (preceded by the calculation of Shannon entropy), starting from five numerical values deduced from Wikipedia. ; Cet article propose de calculer, via Wikipedia, un indice de notoriété pour les entrées du dictionnaire relationnel multilingue de noms propres Prolexbase. Cet indice de notoriété dépend de la langue et participera, d'une part, à la construction d'un module de Prolexbase pour la langue arabe et, d'autre part, à la révision de la notoriété actuellement présente pour les autres langues de la base. Pour calculer la notoriété, nous utilisons la méthode SAW (précédée du calcul de l’entropie de Shannon) à partir de cinq valeurs numériques déduites de Wikipedia.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Noms propres; Notoriété; Notoriety; Prolexbase; Proper Name; Wikipedia
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URL: https://hal.archives-ouvertes.fr/hal-01455571
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Recognition and TEI annotation of Arabic Events Using Transducers
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In: 17th International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01291336 ; 17th International Conference on Intelligent Text Processing and Computational Linguistics, Apr 2016, Konya, Turkey (2016)
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Using finite-state transducers to build lexical resources for Unitex Arabic package
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In: CEC-TAL ; https://hal.archives-ouvertes.fr/hal-01177017 ; CEC-TAL, Mar 2015, Sousse, Tunisia. pp.90-100 (2015)
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Mise en ligne de ProLMF, version 2.2, au format XML LMF (norme ISO-24613:2008) de la base de données Prolexbase sur le site du CNRTL
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In: https://hal.archives-ouvertes.fr/hal-01229951 ; 2015, http://www.cnrtl.fr/lexiques/prolex/ (2015)
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A Multilingual Corpus for the Study of Toponyms in Translation
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In: Challenges in Synchronic Toponymy: Structure, Context and Use ; https://hal.archives-ouvertes.fr/hal-01230007 ; Challenges in Synchronic Toponymy: Structure, Context and Use, Francke A. Verlag, 2015, 978-3-7720-8479-9 (2015)
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Transducers cascades for an automatic recognition of Arabic named entities in order to establish links to free resources
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In: 16th International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01230026 ; 16th International Conference on Intelligent Text Processing and Computational Linguistics, Apr 2015, Cairo, Egypt. pp.61-67 ; http://www.cicling.org/2015/ (2015)
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Construction d’une cascade de transducteurs pour la reconnaissance des dates à partir d’un corpus Wikipédia
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In: CEC-TAL ; https://hal.archives-ouvertes.fr/hal-01177022 ; CEC-TAL, Mar 2015, Sousse, Tunisie. pp.8-11 (2015)
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Automatiser le processus d’anonymisation des corpus oraux : le cas d’ESLO
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In: TALN2015 ; https://hal.archives-ouvertes.fr/hal-01174647 ; TALN2015, Jun 2015, Caen, France ; https://taln2015.greyc.fr/articlesenlignetaln/ (2015)
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Arabic Named Entity Recognition Process using Transducer Cascade and Arabic Wikipedia
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In: RANLP 2015 ; https://hal.archives-ouvertes.fr/hal-01376732 ; RANLP 2015, Sep 2015, Hissar, Bulgaria ; http://lml.bas.bg/ranlp2015/start1.php (2015)
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Using Finite-State Transducers to Build Lexical Resources for Unitex Arabic Package ...
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