ASSC

Fine analysis of opinions in corpuses of Customer Satisfaction (ASSC)Date: 10/2019 – 02/2023Funding: AutresCall: MMAPartners: MMA (France)URL: https://lium.univ-lemans.fr/asscLIUM Participant(s): Nathalie CamelinNicolas DuguéSylvain MeignierRémi BouvetMohamed EttalebThe MMA group (Mutuelles du Mans Assurances), the leading player in property and casualty insurance in France, is highly involved in the analysis of customer paths. In a customer relationship strategy, […]

PolysEmY

Polysemic Embeddings for Industry (PolysEmY)Date: 01/2020 – 07/2021Funding: RFI AltanStic 2020Call: Partners: SNCF (France)URL: https://lium.univ-lemans.fr/polysemyLIUM Participant(s): Nathalie CamelinNicolas DuguéJane WottawaGaëtan CaillautThe lexical resources of SNCF’s technical documentation testify to the richness and specificities of the business vocabulary used within companies such as SNCF. This vocabulary is sometimes uncommon in corpuses, but according to experts, it […]

C3LS

Clustering and Classification on a Corpus in Specialty Language (C3LS)Date: 11/2017 – 10/2019Funding: AutresCall: SNCFPartners: SNCF (France)URL: https://lium.univ-lemans.fr/c3lsLIUM Participant(s): Nathalie CamelinNicolas DuguéThe SNCF group is currently undergoing a digital transformation and is increasingly turning to technologies that could use Natural Language Processing (NLP). Business documentation is currently undergoing a major transformation, with businesses that are […]

Alexis Conneau

PhD defence, Alexis Conneau Titre : Learning distributed representations of sentences using neural networks. jury members : Claire Gardent, Directrice de Recherche Première Classe au CNRS/LORIO, Reviewer François Yvon Professeur des Universités à l’Université d’Orsay, Reviewer Yann Lecun, Professeur à New York University et Facebook AI Research, Examiner Chris Dyer Research Scientist at Google DeepMind, […]

DEEP-PRIVACY

DEEP-PRIVACYDate: 01/2019 – 12/2022Funding: ANRCall: genericPartners: Multispeech (France), LIA (France), Magnet (France)URL: https://lium.univ-lemans.fr/en/deep-privacy/LIUM Participant(s): Anthony LarcherAntoine LaurentMarie TahonPierre ChampionDEEP-PRIVACY proposes a new paradigm based on a distributed, personalized, and privacy-preserving approach for speech processing, with a focus on machine learning algorithms for speech recognition. To this end, we propose to rely on a hybrid approach: […]

Edwin Simonnet

Soutenance de thèse, Edwin Simonnet Date : 12/02/2019 Heure : 13h00 Lieu : amphithéâtre, bâtiment IC2, LIUM, Université du Mans Title : Deep learning applied to spoken langage understanding jury members: Reviewers : – Ms Sophie Rosset – Mr. Frédéric Béchet Examiners : – Mr. Marco Dinarelli – Mr. Bassam Jabaian Supervisor : Mr. Yannick […]

HDR, Anthony Larcher

HDR Defense, Anthony Larcher   Title : Acoustic modelling for speaker recognition.   Jury : Claude BARRAS, Lecturer HDR, LIMSI, Paris Guillaume GRAVIER, Research Director, l’IRISA/CNRS, Rennes Jean-François BONASTRE, Professor, Université d’Avignon et des Pays de Vaucluse Denis JOUVET, Research Director, CNRS, LORIA, Nancy Sylvain MEIGNIER, Professor, Université du Mans   Abstract : Since the […]

Yevhenii Prokopalo

Autonomous lifelong learning intelligent systems Starting: 01/09/2018PhD Student: Yevhenii ProkopaloAdvisor(s): Anthony LarcherCo-advisor(s): Loic BarraultFunding: Chist-ERAThe goal of the ALLIES project is to encourage and demonstrate the development of autonomous systems, able to sustain performance across time according to a given learning scenario. A learning scenario defines the importance given to the performance on “past” and […]

SIMPÆX

SIMPÆXDate: 02/2018 – 09/2020Funding: RFI AltanStic 2020Call: Amorçage, Défis scientifique 2017URL: https://lium.univ-lemans.fr/en/simpaex/LIUM Participant(s): Marie TahonThe SIMPÆX project aims at the automatic segmentation and identification of expressive styles and speakers in a speech corpus. Indeed the extraction of features concerning the speaker, his emotional state and the social context, offers very relevant clues for various applications […]

Néo

NéoDate: 02/2018 – 01/2020Funding: RFI AltanStic 2020Call: Amorçage, Défis scientifique 2017Partners: Laboratoire ERIC (France), CRTT (France)URL: https://lium.univ-lemans.fr/en/neo/LIUM Participant(s): Nicolas DuguéNathalie CamelinNeo is an interdisciplinary digital humanities research project aiming at the semi-automatic detection and analysis of contemporary neology. It results from the convergence of new language practices of the modern web (creation of new words […]