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LIP6

M.‑A. Baazizi, D. Colazzo, G. Ghelli, C. Sartiani : “A Type System for Interactive JSON Schema Inference (Extended Abstract)”, 46^th International Colloquium on Automata, Languages, and Programming (ICALP 2019), vol. 132, Leibniz International Proceedings in Informatics (LIPIcs), Patras, Greece, pp. 101:1-101:13, (Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik) [Baazizi 2019a]
M.‑A. Baazizi, D. Colazzo, G. Ghelli, C. Sartiani : “Schemas And Types For JSON Data”, 22^nd International Conference on Extending Database Technology (EDBT 2019) Proceedings, Lisbon, Portugal, pp. 437-439 [Baazizi 2019c]
M.‑A. Baazizi, D. Colazzo, G. Ghelli, C. Sartiani : “Schemas and Types for JSON Data: From Theory to Practice”, SIGMOD '19 Proceedings of the 2019 International Conference on Management of Data, Amsterdam, Netherlands, pp. 2060-2063, (ACM) [Baazizi 2019d]
P. Bordes, É. Zablocki, L. Soulier, B. Piwowarski : “Un modèle multimodal d’apprentissage de représentations de phrases qui préserve la sémantique visuelle”, COnférence en Recherche d'Informations et Applications, COnférence en Recherche d'Informations et Applications - CORIA 2019, 16^th French Information Retrieval Conference. Lyon, France, May 25-29, 2019. Proceedings, Lyon, France [Bordes 2019a]
P. Bordes, É. Zablocki, L. Soulier, B. Piwowarski, P. Gallinari : “Incorporating Visual Semantics into Sentence Representations within a Grounded Space”, 2019 Conference on Empirical Methods in Natural Language Processing and 9^th International Joint Conference on Natural Language Processing, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9^th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, pp. 696-707, (Association for Computational Linguistics) [Bordes 2019b]
C. Constantin, C. Du Mouza, Y. Li : “A Label-based Edge Partitioning for Multi-Layer Graphs”, 52^nd Hawaii International Conference on System Sciences (HICSS 2019), Maui, Hawaii, United States, pp. 2216-2225, (HICSS) [Constantin 2019]
O. Curé, W. Xu, H. Naacke, Ph. Calvez : “Extending LiteMat toward RDFS++”, KGB-LASCAR 2019 - Knowledge Graph Building and Large Scale RDF Analytics, vol. 2489, CEUR Workshop Proceedings, Portoroz, Slovenia, pp. 54-64, (ceur-ws.org) [Curé 2019]
F.‑Z. Hannou, B. Amann, M.‑A. Baazizi : “Explaining Query Answer Completeness and Correctness with Partition Patterns”, 30^th International Conference on Database and Expert Systems Applications - DEXA 2019, vol. 11707, Lecture Notes in Computer Science, Linz, Austria, pp. 47-62 [Hannou 2019b]
F.‑Z. Hannou, B. Amann, M.‑A. Baazizi : “Exploring and Comparing Table Fragments With Fragment Summaries”, Eleventh International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA), Athènes, Greece, pp. 31-38, (IARIA) [Hannou 2019c]
F.‑Z. Hannou, B. Amann, M.‑A. Baazizi : “Query-Oriented Answer Imputation for Aggregate Queries”, Advances in Databases and Information Systems - 23rd European Conference, ADBIS 2019, vol. 11695, Lecture Notes in Computer Science, Bled, Slovenia, pp. 302-318, (Springer) [Hannou 2019d]
R. Liu, E. Simon, B. Amann, S. Gançarski : “Augmenting Analytic Datasets Using Natural and Aggregate-based Schema Complements”, Post-actes BDA 2019 -Gestion de Données Principes Technologies et Applications, Lyon, France [Liu 2019]
H. Naacke, K. Li, B. Amann, O. Curé : “Efficient similarity-based alignment of temporally-situated graph nodes with Apache Spark”, IEEE International Conference on Big Data, High Performance Big Graph Data Management, Analysis, and Mining, Los Angeles, CA, United States, pp. 4793-4798, (IEEE), (ISBN: 978-1-7281-0858-2) [Naacke 2019]
Th. Scialom, B. Piwowarski, J. Staiano : “Architecture basée sur les mécanismes d'attention: le cas de la génération de questions neuronales”, COnférence en Recherche d'Informations et Applications - CORIA 2019, 16^th French Information Retrieval Conference, COnférence en Recherche d'Informations et Applications - CORIA 2019, 16^th French Information Retrieval Conference. Lyon, France, May 25-29, 2019. Proceedings, Lyon, France [Scialom 2019a]
Th. Scialom, B. Piwowarski, J. Staiano : “Self-Attention Architectures for Answer-Agnostic Neural Question Generation”, ACL 2019 - Annual Meeting of the Association for Computational Linguistics, Proceedings of the 57^th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, pp. 6027-6032, (Association for Computational Linguistics) [Scialom 2019b]
Th. Scialom, S. Lamprier, B. Piwowarski, J. Staiano : “Answers Unite! Unsupervised Metrics for Reinforced Summarization Models”, 2019 Conference on Empirical Methods in Natural Language Processing and the 9^th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), ACL Anthology, Hong Kong, China, pp. 3237-3247, (Association for Computational Linguistics) [Scialom 2019c]
É. Simon, V. Guigue, B. Piwowarski : “Extraction d'information non supervisée avec des modèles discriminants”, CAp 2019 - 21ème Conférence sur l'Apprentissage automatique, Toulouse, France [Simon 2019a]
É. Simon, V. Guigue, B. Piwowarski : “Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses”, Proceedings of the 57^th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, pp. 1378-1387, (Association for Computational Linguistics) [Simon 2019b]