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Corpus-based Language Universals Analysis using Universal Dependencies ; Analyse orientée corpus d'universaux linguistiques sur Universal Dependencies
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In: SyntaxFest Quasy 2021 - Quantitative Syntax ; https://hal.inria.fr/hal-03501774 ; SyntaxFest Quasy 2021 - Quantitative Syntax, Mar 2022, Sofia, Bulgaria (2022)
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Corpus-based Language Universals Analysis using Universal Dependencies ; Analyse orientée corpus d'universaux linguistiques sur Universal Dependencies
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In: Quasy (Quantitative Syntax), SyntaxFest 2021 ; https://hal.inria.fr/hal-03501774 ; Quasy (Quantitative Syntax), SyntaxFest 2021, Mar 2022, Sofia, Bulgaria (2022)
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Starting a new treebank? Go SUD! Theoretical and practical benefits of the Surface-Syntactic distributional approach
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In: Sixth International Conference on Dependency Linguistics (Depling, SyntaxFest 2021) ; https://hal.inria.fr/hal-03509136 ; Sixth International Conference on Dependency Linguistics (Depling, SyntaxFest 2021), Mar 2022, Sofia, Bulgaria (2022)
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A morph-based and a word-based treebank for Beja
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In: SyntaxFest ; TLT 2021 - 20th International Workshop on Treebanks and Linguistic Theories ; https://hal.archives-ouvertes.fr/hal-03494462 ; TLT 2021 - 20th International Workshop on Treebanks and Linguistic Theories, Mar 2022, Sofia, Bulgaria (2022)
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Convertir le Trésor de la Langue Française en Ontolex-Lemon : un zeste de données liées
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In: Journées LIFT 2021 - Linguistique informatique, formelle et de terrain ; https://hal.inria.fr/hal-03463294 ; Journées LIFT 2021 - Linguistique informatique, formelle et de terrain, Dec 2021, Grenoble, France (2021)
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A morph-based and a word-based treebank for Beja
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In: SyntaxFest ; https://hal.archives-ouvertes.fr/hal-03494462 ; SyntaxFest, In press (2021)
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Analyse orientée corpus d'universaux de Greenberg sur Universal Dependencies
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In: Journées LIFT 2021 - Linguistique informatique, formelle et de terrain ; https://hal.inria.fr/hal-03462112 ; Journées LIFT 2021 - Linguistique informatique, formelle et de terrain, GDR LIFT - Linguistique Informatique, Formelle et de Terrain, Dec 2021, Grenoble, France (2021)
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Graph Matching and Graph Rewriting: GREW tools for corpus exploration, maintenance and conversion
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In: EACL 2021 - 16th conference of the European Chapter of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03177701 ; EACL 2021 - 16th conference of the European Chapter of the Association for Computational Linguistics, Apr 2021, Kiev/Online, Ukraine ; https://2021.eacl.org/ (2021)
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Convertir le Trésor de la Langue Française en Ontolex-Lemon : un zeste de données liées ...
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Convertir le Trésor de la Langue Française en Ontolex-Lemon : un zeste de données liées ...
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A French corpus annotated for multiword expressions and named entities
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In: ISSN: 2299-856X ; EISSN: 2299-8470 ; Journal of Language Modelling ; https://hal.archives-ouvertes.fr/hal-03016721 ; Journal of Language Modelling, Institute of Computer Science, Polish Academy of Sciences, Poland, 2020, 8 (2), pp.415-479. ⟨10.15398/jlm.v8i2.265⟩ (2020)
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Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions
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Ramisch, Carlos; Savary, Agata; Guillaume, Bruno; Waszczuk, Jakub; Candito, Marie; Vaidya, Ashwini; Mititelu, Verginica,; Bhatia, Archna; Iñurrieta, Uxoa; Giouli, Voula; Güngör, Tunga; Polyu, Menghan,; Lichte, Timm; Liebeskind, Chaya; Monti, Johanna; Ramisch, Renata; Stymne, Sara; Walsh, Abigail; Xu, Hongzhi
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In: Joint Workshop on Multiword Expressions and Electronic Lexicons (MWE-LEX 2020) ; https://hal.archives-ouvertes.fr/hal-03014927 ; Joint Workshop on Multiword Expressions and Electronic Lexicons (MWE-LEX 2020), 2020, Barcelona, Spain ; https://www.aclweb.org/anthology/volumes/2020.mwe-1/ (2020)
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Abstract:
International audience ; We present edition 1.2 of the PARSEME shared task on identification of verbal multiword expressions (VMWEs). Lessons learned from previous editions indicate that VMWEs have low ambiguity, and that the major challenge lies in identifying test instances never seen in the training data. Therefore, this edition focuses on unseen VMWEs. We have split annotated corpora so that the test corpora contain around 300 unseen VMWEs, and we provide non-annotated raw corpora to be used by complementary discovery methods. We released annotated and raw corpora in 14 languages, and this semi-supervised challenge attracted 7 teams who submitted 9 system results. This paper describes the effort of corpus creation, the task design, and the results obtained by the participating systems, especially their performance on unseen expressions.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
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URL: https://hal.archives-ouvertes.fr/hal-03014927/document https://hal.archives-ouvertes.fr/hal-03014927 https://hal.archives-ouvertes.fr/hal-03014927/file/main-print.pdf
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When Collaborative Treebank Curation Meets Graph Grammars ; When Collaborative Treebank Curation Meets Graph Grammars: Arborator With a Grew Back-End
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In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-03021720 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France ; http://www.lrec-conf.org/proceedings/lrec2020/index.html (2020)
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A French Version of the FraCaS Test Suite ; Une version française de la ressource FraCaS
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In: LREC 2020 - Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02619239 ; LREC 2020 - Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.9 (2020)
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Morpho-syntactically annotated corpora provided for the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2)
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