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 !
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 […]
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 […]
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 […]
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)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 […]
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, […]
PhD defence, Amira Barhoumi Date : 23/11/2020 Time : 10h00 Location : IC2 building, LIUM, Le Mans Université Title : Neural approach for Arabic sentiment analysis Jury members : Reviewers: – Kamel Smaïli Professor, Université de Lorraine, France – Nadia Essoussi Professor, Université de Tunis, Tunisie Examiners: – Emmanuel Morin, Professor, Université de Nantes, France […]
PhD defence; Script optimization for TTS voice corpus design in audio-book generation PhD candidate: Meysam Shamsi Date: 16/10/2020 Time: 14h00 Localization: IC2, Boardroom Supervisor: Damien Lolive (Senior lecturer, ENSSAT) Mr. Meysam SHAMSI will defend his PhD thesis in computer science carried out at ENSSAT under the supervision of Damien Lolive (Senior Lecturer, HDR […]
Diagnostic automatique des erreurs des systèmes de transcription de parole end-to-end à partir de leur réception par les utilisateurs (DIETS)Date: 02/2021 – 08/2024Funding: ANRCall: AAPG2020 – JCJCPartners: LIA (porteur) (France), LPC (France)URL: https://lium.univ-lemans.fr/en/diets/LIUM Participant(s): Jane WottawaAntoine ThollyA major issue of language processing evaluation metrics concerns the fact that they are designed to globally mesure a […]
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