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1
Corpus-based Language Universals Analysis using Universal Dependencies ; Analyse orientée corpus d'universaux linguistiques sur Universal Dependencies
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
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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3
French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English
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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4
Analyse orientée corpus d'universaux de Greenberg sur Universal Dependencies
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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5
The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies.
In: https://hal.archives-ouvertes.fr/hal-03230287 ; 2021 (2021)
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6
Creating Expert Knowledge by Relying on Language Learners: a Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning
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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7
Produire des données pour la recherche en jouant aux zombies
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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8
"Fingers in the Nose": Evaluating Speakers' Identification of Multi-Word Expressions Using a Slightly Gamified Crowdsourcing Platform
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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9
Crowdsourcing Complex Language Resources: Playing to Annotate Dependency Syntax
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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10
Analyse lexicale outillée de la parole transcrite de patients schizophrènes
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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11
Mapping the Lexique des Verbes du Français (Lexicon of French Verbs) to a NLP Lexicon using Examples
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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12
Propa-L: a Semantic Filtering Service from a Lexical Network Created using Games With A Purpose
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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13
Deep Syntax Annotation of the Sequoia French Treebank
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)
Abstract: International audience ; We define a deep syntactic representation scheme for French, which abstracts away from surface syntactic variation and diathesis alternations, and describe the annotation of deep syntactic representations on top of the surface dependency trees of the Sequoia corpus. The resulting deep-annotated corpus, named DEEP - SEQUOIA, is freely available, and hopefully useful for corpus linguistics studies and for training deep analyzers to prepare semantic analysis.
Keyword: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; deep syntax; diathesis alternation; treebank
URL: https://hal.inria.fr/hal-00969191v2/file/deep_sequoia.final_with_keywords.pdf
https://hal.inria.fr/hal-00969191
https://hal.inria.fr/hal-00969191v2/document
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14
Evaluating Corpora Documentation with regards to the Ethics and Big Data Charter
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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15
"Where the data are coming from?" Ethics, crowdsourcing and traceability for Big Data in Human Language Technology
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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16
Crowdsourcing for Language Resource Development: Criticisms About Amazon Mechanical Turk Overpowering Use
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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17
Étude quantitative des disfluences dans le discours de schizophrènes : automatiser pour limiter les biais
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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18
Un schéma d'annotation en dépendances syntaxiques profondes pour le français
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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19
Modeling the Complexity of Manual Annotation Tasks: a Grid of Analysis
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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20
Manual Corpus Annotation: Giving Meaning to the Evaluation Metrics
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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