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Gado2: multilingual newspapers from the Netherlands Indies ...
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Gado2: multilingual newspapers from the Netherlands Indies ...
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Gado2: multilingual newspapers from the Netherlands Indies ...
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Gado2: multilingual newspapers from the Netherlands Indies ...
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An Arabic Dataset for Disease Named Entity Recognition with Multi-Annotation Schemes ...
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Abstract:
This is a novel data descriptor that provides the Arabic natural language processing community with a dataset dedicated to named entity recognition tasks for diseases. The dataset comprises more than 60 thousand words, which were annotated manually by two independent annotators using the inside-outside (IO) annotation scheme. To ensure the reliability of the annotation process, the inter-annotator agreements rate was calculated, and it scored 95.14\%. Due to the lack of research efforts in the literature dedicated for studying Arabic multi-annotation schemes, a distinguishing and a novel aspect of this dataset is the inclusion of six more annotation schemes that will bridge the gap by allowing the researchers to explore and compare the effects of these schemes on the performance of the Arabic named entity recognizers. These annotation schemes are IOE, IOB, BIES, IOBES, IE, and BI. Additionally, five linguistic features, including part-of-speech tags, stopwords, gazetteers, lexical markers, and the presence ...
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Keyword:
Named Entity Recognition; Modern Standard Arabic Corpus; Annotation Schemes
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URL: https://zenodo.org/record/3926432 https://dx.doi.org/10.5281/zenodo.3926432
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An Arabic Dataset for Disease Named Entity Recognition with Multi-Annotation Schemes ...
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Bidirectional Recurrent Neural Network Approach for Arabic Named Entity Recognition
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In: Future Internet ; Volume 10 ; Issue 12 (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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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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Traitement automatique des entités nommées en arabe : détection et traduction
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In: ISSN: 1248-9433 ; EISSN: 1965-0906 ; Revue TAL ; https://hal.archives-ouvertes.fr/hal-01663487 ; Revue TAL, ATALA (Association pour le Traitement Automatique des Langues), 2014, 54, pp.101-132 (2014)
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Using Text Mining to Identify Crime Patterns from Arabic Crime News Report Corpus
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Alruily, Meshrif. - : De Montfort University, 2012. : Faculty of Technology, 2012. : Software Technology Research Laboratory, 2012
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A real time Named Entity Recognition system for Arabic text mining
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ALIGNMENT OF BILINGUAL NAMED ENTITIES IN FRENCH -ARABIC PARALLEL CORPORA
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In: Proceedings of ACIT 2008 ; International Arab Conference on Information Technology ; https://hal.archives-ouvertes.fr/hal-00790336 ; International Arab Conference on Information Technology, 2008, Hammamet, Tunisia (2008)
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Specific Features to Enhance Arabic Named Entity Recognition
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Rule Based Persons Names Arabic Extraction System
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In: http://www.ibimapublishing.com/journals/CIBIMA/volume11/v11n6.pdf (1943)
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ARABIC PERSON NAMES RECOGNITION BY USING A RULE BASED APPROACH
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In: http://thescipub.com/PDF/jcssp.2013.922.927.pdf
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