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Deep Sequoia corpus - PARSEME-FR corpus - FrSemCor
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Barque, Lucie; Candito, Marie; Constant, Matthieu; Cordeiro, Silvio Ricardo; Crabbé, Benoît; Fort, Karën; Guillaume, Bruno; Haas, Pauline; Huyghe, Richard; Perrier, Guy; Ramisch, Carlos; Ribeyre, Corentin; Savary, Agata; Seddah, Djamé; Segonne, Vincent; Tribout, Delphine; Villemonte de la Clergerie, Eric; Parmentier, Yannick; Pasquer, Caroline; Antoine, Jean-Yves. - : ANR, 2021
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Abstract:
The Sequoia corpus is a set of 3,099 linguistically-annotated French sentences, originating from four sources (Europarl, European Agency Reports, French regional journal L'Est Républicain, and French wikipedia). Several types of annotations were added over the years. The current release comprises: - parts-of-speech (SEQUOIA ANR-08-EMER-013 project) - syntactic dependency trees - deep syntactic dependency graphs (Deep sequoia project) - multi-word expressions and named entities (PARSEME COST project and PARSEME-FR ANR-14-CERA-0001 project) - coarse semantic tags for nouns (FrSemCor project) See the deep sequoia page for a detailed description: https://deep-sequoia.inria.fr/
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Keyword:
dependency syntax; morpho-syntactic annotations; multiword expressions; named entities; semantic tagging; treebank
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URL: http://hdl.handle.net/11234/1-3429
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Universal Dependencies 2.1
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In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
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Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
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Deep Syntax Annotation of the Sequoia French Treebank
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In: International Conference on Language Resources and Evaluation (LREC) ; https://hal.inria.fr/hal-00969191 ; International Conference on Language Resources and Evaluation (LREC), May 2014, Reykjavik, Iceland (2014)
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