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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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French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English
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In: ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03629677 ; ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, May 2022, Dublin, Ireland (2022)
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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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The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies.
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In: https://hal.archives-ouvertes.fr/hal-03230287 ; 2021 (2021)
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Creating Expert Knowledge by Relying on Language Learners: a Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning
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In: LREC 2020 - Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02879883 ; LREC 2020 - Language Resources and Evaluation Conference, May 2020, Marseille, France (2020)
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Produire des données pour la recherche en jouant aux zombies
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In: ISSN: 2270-6224 ; Interstices ; https://hal.inria.fr/hal-01827612 ; Interstices, INRIA, 2018 ; https://interstices.info/produire-des-donnees-pour-la-recherche-en-jouant-aux-zombies (2018)
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"Fingers in the Nose": Evaluating Speakers' Identification of Multi-Word Expressions Using a Slightly Gamified Crowdsourcing Platform
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In: Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018) ; https://hal.archives-ouvertes.fr/hal-01912706 ; Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), Aug 2018, Santa Fe, United States. pp.207 - 213 ; https://aclanthology.coli.uni-saarland.de/events/ws-2018/#W18-49 (2018)
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Crowdsourcing Complex Language Resources: Playing to Annotate Dependency Syntax
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In: International Conference on Computational Linguistics (COLING) ; https://hal.inria.fr/hal-01378980 ; International Conference on Computational Linguistics (COLING), Dec 2016, Osaka, Japan ; http://coling2016.anlp.jp/ (2016)
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Analyse lexicale outillée de la parole transcrite de patients schizophrènes
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In: ISSN: 1248-9433 ; EISSN: 1965-0906 ; Revue TAL ; https://hal.inria.fr/hal-01188677 ; Revue TAL, ATALA (Association pour le Traitement Automatique des Langues), 2015, Natural Language Processing and Cognition, 55 (3), pp.91 - 115 (2015)
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Mapping the Lexique des Verbes du Français (Lexicon of French Verbs) to a NLP Lexicon using Examples
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In: International Conference on Language Resources and Evaluation (LREC) ; https://hal.inria.fr/hal-00969184 ; International Conference on Language Resources and Evaluation (LREC), May 2014, Reykjavik, Iceland (2014)
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Propa-L: a Semantic Filtering Service from a Lexical Network Created using Games With A Purpose
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In: 9th International Conference on Language Resources and Evaluation ; LREC: Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-00969161 ; LREC: Language Resources and Evaluation Conference, May 2014, Reykjavik, Iceland. pp.1676-1681 ; http://www.lrec-conf.org/proceedings/lrec2014/index.html (2014)
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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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Evaluating Corpora Documentation with regards to the Ethics and Big Data Charter
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In: International Conference on Language Resources and Evaluation (LREC) ; https://hal.inria.fr/hal-00969180 ; International Conference on Language Resources and Evaluation (LREC), May 2014, Reykjavik, Iceland (2014)
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"Where the data are coming from?" Ethics, crowdsourcing and traceability for Big Data in Human Language Technology
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In: Crowdsourcing and human computation multidisciplinary workshop ; https://hal.archives-ouvertes.fr/hal-01078045 ; Crowdsourcing and human computation multidisciplinary workshop, CNRS, Sep 2014, Paris, France (2014)
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Crowdsourcing for Language Resource Development: Criticisms About Amazon Mechanical Turk Overpowering Use
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In: Human Language Technology Challenges for Computer Science and Linguistics ; https://hal.inria.fr/hal-01053047 ; Vetulani, Zygmunt and Mariani, Joseph. Human Language Technology Challenges for Computer Science and Linguistics, 8387, Springer International Publishing, pp.303-314, 2014, Lecture Notes in Computer Science, 978-3-319-08957-7. ⟨10.1007/978-3-319-08958-4_25⟩ (2014)
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Étude quantitative des disfluences dans le discours de schizophrènes : automatiser pour limiter les biais
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In: TALN - Traitement Automatique des Langues Naturelles ; https://hal.inria.fr/hal-01054391 ; TALN - Traitement Automatique des Langues Naturelles, Jul 2014, Marseille, France. pp.292-303 (2014)
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Un schéma d'annotation en dépendances syntaxiques profondes pour le français
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In: TALN - Traitement Automatique des Langues Naturelles ; https://hal.inria.fr/hal-01054407 ; TALN - Traitement Automatique des Langues Naturelles, Jul 2014, Marseille, France. pp.574-579 (2014)
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Abstract:
International audience ; We describe in this article an annotation scheme for deep dependency syntax, built from the surface annotation scheme of the Sequoia corpus, abstracting away from it and expressing the grammatical relations between content words. When these grammatical relations take part into verbal diatheses, we consider the diatheses as resulting from redistributions from the canonical diathesis, which we retain in our annotation scheme. ; À partir du schéma d'annotation en dépendances syntaxiques de surface du corpus Sequoia, nous proposons un schéma en dépendances syntaxiques profondes qui en est une abstraction exprimant les relations grammaticales entre mots sémantiquement pleins. Quand ces relations grammaticales sont partie prenante de diathèses verbales, ces diathèses sont vues comme le résultat de redistributions à partir d'une diathèse canonique et c'est cette dernière qui est retenue dans notre schéma d'annotation syntaxique profonde.
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Keyword:
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; annotation scheme; deep syntax; dependency grammar
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URL: https://hal.inria.fr/hal-01054407/file/Paper_P-C.4.pdf https://hal.inria.fr/hal-01054407 https://hal.inria.fr/hal-01054407/document
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Modeling the Complexity of Manual Annotation Tasks: a Grid of Analysis
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In: Proceedings of the International Conference on Computational Linguistics (COLING 2012) ; International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-00769631 ; International Conference on Computational Linguistics, Dec 2012, Mumbaï, India. pp.895--910 (2012)
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Manual Corpus Annotation: Giving Meaning to the Evaluation Metrics
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In: Proceedings of the International Conference on Computational Linguistics (COLING 2012) ; International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-00769639 ; International Conference on Computational Linguistics, Dec 2012, Mumbaï, India. pp.809--818 (2012)
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