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Plaintext Wikipedia dump 2018
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Rosa, Rudolf. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018
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日本語Wikipediaを用いた慣用句の構成性の数値化
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In: https://pj.ninjal.ac.jp/corpus_center/lrw2018.html (2018)
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Predicting wikipedia infobox type information using word embeddings on categories ...
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Wikiprovenance: Are There Enough References To Every (Known) Fact On Wikidata? ...
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Wikiprovenance: Are There Enough References To Every (Known) Fact On Wikidata? ...
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The_Tower_of_Babel.jpg: Diversity of Visual Encyclopedic Knowledge Across Wikipedia Language Editions
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In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 12 No. 1 (2018): Twelfth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2018)
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The Evolution of the Concept of Semantic Web in the Context of Wikipedia: An Exploratory Approach to Study the Collective Conceptualization in a Digital Collaborative Environment
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In: Publications ; Volume 6 ; Issue 4 (2018)
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C-HTS: A Concept-based Hierarchical Text Segmentation Approach ; Language Resources and Evaluation Conference, LREC 2018
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Wikipromotion?: The use of Wikipedia to spread the World Cultural Heritage in Spain
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Wikipedia infobox type prediction using embeddings
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In: ISSN: 1613-0073 (2018)
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Predicting wikipedia infobox type information using word embeddings on categories
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In: ISSN: 1613-0073 (2018)
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Building effective representations for domain adaptation in coreference resolution
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Using Wikipedia as a classroom tool — a translation experience
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Análise de textos enciclopédicos da Simple English Wikipedia e da Wikipedia: algumas discussões para o ensino de língua inglesa
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In: Revista de Estudos da Linguagem, Vol 26, Iss 2, Pp 769-792 (2018) (2018)
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A Distant Learning Approach for Extracting Hypernym Relations from Wikipedia Disambiguation Pages
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In: Procedia Computer Science - Vol. 112 - 2017 ; 21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2017) ; https://hal.archives-ouvertes.fr/hal-01919073 ; 21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2017), Sep 2017, Marseille, France. pp.1764-1773 (2017)
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ИСКАЖЕНИЕ ЗНАЧЕНИЙ И СМЫСЛОВ ПОЛИТИКО-ИСТОРИЧЕСКИХ СОБЫТИЙ В РАЗНОЯЗЫЧНЫХ ВЕРСИЯХ СТАТЕЙ ВИКИПЕДИИ
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Variations de la confiance et de la réputation de Wikipédia chez les jeunes (11-25 ans)
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In: https://hal-univ-tlse3.archives-ouvertes.fr/hal-03636787 ; 2017 (2017)
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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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Abstract:
International audience ; Since the MUC-7, the extraction of the Semantic Relation (SR) extraction has been started aiming to detect the significant links between Named Entities (NEs). This task is evolved in many domains to realize several objectives such as corpora and electronic NE dictionary enrichment. In this context, we propose a rue-based system called ASRextractor, which extracts and annotates SRs relating Arabic NEs (ANEs). The SR extraction is based on an annotated Arabic Wikipedia corpus and it helps us identify 18 SR types such as synonymy and origin. For the SR annotation, our proposed system reposes on an annotation syntax respecting the TEI (Text Encoding Initiative) recommendation. Moreover, ASRextractor is based on finite state transducers, which ensure both the extraction and annotation process. The established transducers are regrouped inside an analysis cascade in a predefined order. The metric values show that our obtained results are encouraging.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Arabic Named Entity; Arabic Wikipedia; Semantic Relation; TEI recommendation; transducer casacde
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URL: https://hal-univ-tours.archives-ouvertes.fr/hal-01632858
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