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1
A fine-grained recognition of Named Entities in ELTeC collection using cascades
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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2
UNITEX 3.3 User Manual
In: https://hal.archives-ouvertes.fr/hal-03589580 ; 2021 (2021)
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UNITEX 3.3 Manuel d'utilisation
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
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
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
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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7
CasANER: Arabic Named Entity Recognition Tool
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
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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9
A Semi-automatic and Low Cost Approach to Build Scalable Lemma-based Lexical Resources for Arabic Verbs
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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10
Covering various Needs in Temporal Annotation: a Proposal of Extension of ISO TimeML that Preserves Upward Compatibility
In: LREC 2016 proceedings ; LREC 2016 ; https://halshs.archives-ouvertes.fr/halshs-01318792 ; LREC 2016, May 2016, Portorož Slovenia (2016)
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11
Estimate the notoriety of a Proper name using Wikipedia ; Estimer la notoriété d’un nom propre via Wikipedia
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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12
Recognition and TEI annotation of Arabic Events Using Transducers
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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13
Using finite-state transducers to build lexical resources for Unitex Arabic package
In: CEC-TAL ; https://hal.archives-ouvertes.fr/hal-01177017 ; CEC-TAL, Mar 2015, Sousse, Tunisia. pp.90-100 (2015)
Abstract: International audience ; This paper addresses the issue of generating Arabic verbal inflectional paradigms using the FSA. In the process of the proposed approach the tokens drawn from the corpus are manually lemmatized and then finite state transducers are applied to the lemmas for producing all possible word forms with their full morphological features. The first strength of the approach lie in the algorithm of automatic generation of 184 transitions transducers, which is very cumbersome, if manually, designed. The second strength is the new classification of Arabic verbs; this classification is based on our new suggested inflection scheme that specifies the verb inflection paradigms. All resulting resources are publicly available and currently used as an open package in the Unitex framework under the LGPL license.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Arabic linguistic resources; Arabic verbs; Finite state transducers; Unitex
URL: https://hal.archives-ouvertes.fr/hal-01177017
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14
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
In: https://hal.archives-ouvertes.fr/hal-01229951 ; 2015, http://www.cnrtl.fr/lexiques/prolex/ (2015)
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15
A Multilingual Corpus for the Study of Toponyms in Translation
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
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
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
In: TALN2015 ; https://hal.archives-ouvertes.fr/hal-01174647 ; TALN2015, Jun 2015, Caen, France ; https://taln2015.greyc.fr/articlesenlignetaln/ (2015)
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19
Arabic Named Entity Recognition Process using Transducer Cascade and Arabic Wikipedia
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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