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Exploring Vector Spaces for Semantic Relations.

, , , , and . EMNLP, page 1814-1823. Association for Computational Linguistics, (2017)

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Inférence grammaticale et grammaires catégorielles: vers la Grande Unification!. CAP, page 63-78. PUG, (2005)Improving Recurrent Neural Networks For Sequence Labelling., and . CoRR, (2016)A Large available oral corpus: Orleans corpus 1968-2012., , , , , and . Trait. Autom. des Langues, 52 (3): 17-46 (2011)Learnability of Pregroup Grammars., , and . Stud Logica, 87 (2-3): 225-252 (2007)Domain Adaptation for Named Entity Recognition Using CRFs., , , and . LREC, European Language Resources Association (ELRA), (2016)New Recurrent Neural Network Variants for Sequence Labeling., and . CICLing (1), volume 9623 of Lecture Notes in Computer Science, page 155-173. Springer, (2016)Macrosyntactic Segmenters of a French Spoken Corpus., , and . LREC, page 3891-3896. European Language Resources Association (ELRA), (2014)Data Adaptation for Named Entity Recognition on Tweets with Features-Rich CRF., , and . NUT@IJCNLP, page 68-71. Association for Computational Linguistics, (2015)Étude des réseaux de neurones récurrents pour étiquetage de séquences (A study of Recurrent Neural Networks for Sequence Labelling)., and . JEP-TALN-RECITAL (2), page 98-111. AFCP - ATALA, (2016)Modélisation des processus d'acquisition syntaxique par jeux de langage entre agents artificiels (Modeling Syntactic Acquisition by Language Games between Artificial Agents )., and . CORIA-TALN-RJC (TALN), page 87-100. ATALA, (2018)