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1
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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2
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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3
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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4
Chunk Different Kind of Spoken Discourse: Challenges for Machine Learning
In: Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-03482181 ; Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.5164-5168 ; https://aclanthology.org/2020.lrec-1.635/ (2020)
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5
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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6
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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7
Universal Dependencies 2.5
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019
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8
Universal Dependencies 2.4
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019
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9
Integrating Dependency Parses with Sequential Patterns to Improve Relation Extraction ; Apport des dépendances syntaxiques et des patrons séquentiels à l'extraction de relations
In: TALN 2018 ; https://hal.inria.fr/hal-02079719 ; TALN 2018, May 2018, Rennes, France (2018)
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10
ANCOR-AS: Enriching the ANCOR Corpus with Syntactic Annotations
In: LREC 2018 - 11th edition of the Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01744572 ; LREC 2018 - 11th edition of the Language Resources and Evaluation Conference, May 2018, Miyazaki, Japan ; http://lrec2018.lrec-conf.org/en/ (2018)
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11
Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR
In: Computational Linguistics and Intelligent Text Processing. ; https://hal.archives-ouvertes.fr/hal-01889593 ; Computational Linguistics and Intelligent Text Processing., n° 9623-9624, Springer, 2018, Lecture Notes in Computer Science (2018)
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12
Universal Dependencies 2.2
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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13
Universal Dependencies 2.3
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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14
Universal Dependencies 2.2
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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15
Experiences in using deep and shallow parsing to detect entity mentions in oral French ; Apports des analyses syntaxiques pour la détection automatique de mentions dans un corpus de français oral
In: TALN 2017 ; https://hal.inria.fr/hal-01558711 ; TALN 2017, Association pour le Traitement Automatique des Langues (ATALA), Jun 2017, Orléans, France ; http://taln2017.cnrs.fr (2017)
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16
Combining Syntactic and Sequential Patterns for Unsupervised Semantic Relation Extraction.
In: https://hal.archives-ouvertes.fr/hal-01591501 ; CEUR-WS.org. Macedonia. 1881, pp.81-84, 2017, Interactions between Data Mining and Natural Language Processing 2017 (2017)
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17
Structured Named Entity Recognition by Cascading CRFs
In: Intelligent Text Processing and Computational Linguistics (CICling) ; https://hal.archives-ouvertes.fr/hal-01579109 ; Intelligent Text Processing and Computational Linguistics (CICling), Apr 2017, Budapest, Hungary (2017)
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18
Label-Dependencies Aware Recurrent Neural Networks
In: Intelligent Text Processing and Computational Linguistics (CICling) ; https://hal.archives-ouvertes.fr/hal-01579071 ; Intelligent Text Processing and Computational Linguistics (CICling), Apr 2017, Budapest, Hungary ; http://www.cicling.org/2017/ (2017)
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19
Syntax-based queries for non-specialists: a new perspective on similarity research
In: American Association for Corpus Linguistics (AACL) & Technology for Second Language Learning (TSLL) ; https://halshs.archives-ouvertes.fr/halshs-01741060 ; American Association for Corpus Linguistics (AACL) & Technology for Second Language Learning (TSLL), Sep 2016, Ames (Iowa), United States (2016)
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20
De l'exemple construit à l'exemple attesté : un système de requêtes syntaxiques pour non-spécialistes
In: Atelier Enseignement des Langues et TAL ; https://halshs.archives-ouvertes.fr/halshs-01399520 ; Atelier Enseignement des Langues et TAL, Jul 2016, Paris, France ; https://sites.google.com/site/eltal2016taln/home (2016)
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