End2End Acoustic to Semantic Transduction

Seminar from Valentin Pelloin, PhD student at LIUM   Date: 12/05/2021 Time: 11h00 Localization: online Speaker: Valentin Pelloin   End2End Acoustic to Semantic Transduction   We propose a novel end-to-end sequence-to-sequence spoken language understanding model using an attention mechanism. It reliably selects contextual acoustic features in order to hypothesize semantic contents. An initial architecture capable […]

Best paper award, IDA 2021

The paper SINr: fast computing of Sparse Interpretable Node Representations is not a sin! recieved the best paper award at the 19th Symposium on Intelligent Data Analysis (IDA 2021). Congrats to Thibault Prouteau, Victor Connes, Nicolas Dugué, Anthony Perez, Jean-Charles Lamirel, Nathalie Camelin and Sylvain Meignier !

SINr: fast computing of Sparse Interpretable Node Representations is not a sin!

Seminar from Thibault Prouteau, PhD student at LIUM   Date: 19/04/2021 Time: 11h00 Localization: online Speaker: Thibault Prouteau   SINr: fast computing of Sparse Interpretable Node Representations is not a sin!   While graph embedding aims at learning low-dimensional representations of nodes encompassing the graph topology, word embedding focus on learning word vectors that encode […]

MiniBERT: a simple and explainable BERT model

Seminar from Gaëtan Caillaut, Post-Doctoral researcher at LIUM   Date: 12/03/2021 Time: 11h00 Localization: online Speaker: Gaëtan Caillaut   MiniBERT: a simple and explainable BERT model   As part of the PolysEmY project, we work with the SNCF (French railway company) to produce “polysemic-aware” word embeddings. Documents provided by the SNCF are written in technical […]

Approches de transfert en traduction automatique neuronale

Seminar by Adrien Bardet, PhD Student at LIUM, Team LST   Date: 19/02/2021 Time: 11h00 Localization: online Speaker: Adrien Bardet   Multilingual neural architectures for natural language processing   Machine translation using little data leads to poor performance. The use of multilingual systems is one solution to this problem. Multilingual machine translation systems make it […]

Adrien Bardet

PhD defence, Adrien Bardet Date : 22/02/2021 Time : 14h00 Location : IC2 building, LIUM, Le Mans Université, online   Title: Multilingual neural architectures for natural language processing Jury members: Ms. Claire Gardent, Professor, LORIA, Vandoeuvre-lès-Nancy, Reviewer Mr. Alexandre Allauzen, Professor, LAMSADE, Paris, Reviewer Mr. Emmanuel MORIN Professor, Université de Nantes – LS2N, Examiner Mr. […]

Corpus PASTEL

Corpus: PASTEL (Corpus PASTEL)Author(s): Salima MdhaffarYannick EstèveAntoine LaurentNathalie CamelinLe corpus PASTEL consiste en une collection de cours de différents domaines informatique (traitement automatique des langues, introduction à l’informatique, etc) en première année de licence d’informatique à l’Université de Nantes. Il est constitué de cours qui proviennent de deux sources : le projet COCo (Comin Open […]

Albane Gril

Proposal of an approach for capitalizing on indicators dedicated to a study of the impact of the system for improving the French language, écri+.Starting: 04/01/2021PhD Student: Albane GrilAdvisor(s): Sébastien George Co-advisor(s): Madeth May (LIUM), Valérie Renault (CREN)Funding: PIA Ecri+Contexte de la thèse : Le projet national PIA écri+ est dédié à l’accompagnement des étudiants dans […]

Antoine Caubrière

PhD defence, Antoine Caubrière Date : 29/01/2021 Time : 14h00 Location : IC2 building, LIUM, Le Mans Université, online   Title: From signal to concept: Deep neural networks applied to spoken language understanding Jury members: Ms. Irina ILLINA, Lecturer – HDR, Université de Lorraine – LORIA / INRIA, Reviewer Mr. Benoit FAVRE, Lecturer – HDR, […]

Les learning analytics seraient-elles promises à l’échec ?

Seminar from Rémi Venant, Lecturer at LIUM, team TEL   Date: 22/01/2021 Time: 11h00 Localization: video-conference Speaker: Rémi Venant   Are learning analytics doomed to failure?   learning analytics (LA) are undergoing increasing development, and following the COVID-19 pandemic and the forced introduction of large-scale distance learning, it is reasonable to anticipate an acceleration in […]