Corpus: Tunisian Sentiment Analysis Corpus. (TSAC)Licence: GNU Lesser General Public License v3.0GitHub: https://github.com/fbougares/TSACAuthor(s): Fethi BougaresSalima MdhaffarYannick EstèveAbout 17k user comments manually annotated to positive and negative polarities. This corpus is collected from Facebook users comments written on official pages of Tunisian radios and TV channels namely Mosaique FM, JawhraFM, Shemes FM, HiwarElttounsi TV and Nessma […]
SpeechBrain (SpeechBrain)Date: 09/2019 – 12/2021Funding: AutresCall: Partners: Mila (Canada), LIA (France), PyTorch, IBM Research AI, fluent.ai (Canada)URL: https://speechbrain.github.ioLIUM Participant(s): Anthony LarcherSylvain MeignierSpeechBrain is an open-source and all-in-one speech toolkit relying on PyTorch. The goal is to create a single, flexible, and user-friendly toolkit that can be used to easily develop state-of-the-art speech technologies, including systems […]
Gender Equality Monitor (GEM)Date: 01/2020 – 06/2024Funding: ANRCall: AAPG2019Partners: INA, LIMSI, Carism, Deezer, LERASS, ENS Lyon URL: https://lium.univ-lemans.fr/en/gem/LIUM Participant(s): Antoine LaurentAnthony LarcherNathalie CamelinNicolas DuguéSylvain MeignierMarie TahonMartin LebourdaisMedia and society have an intricate relationship. Descriptive, the media are also prescriptive and shape our perception of the world. The GEM project aims to describe the differences in […]
CapDiff (CapDiff)Date: 06/2019 – 12/2020Funding: AutresCall: BPIPartners: LAUM (France), HAAPIE (France), VOXPASS (France)URL: https://lium.univ-lemans.fr/en/capdiff/LIUM Participant(s): Anthony LarcherJustine CarpentierSylvain MeignierThe development and spreading of connected enable automation of a number of tidious tasks. The recent advances in speech recognition technologies, i.e., speech synthesis or voice recognition and the increasing user acceptance open wide horizons for those […]
Artificial Intelligence for Semantically controlled SPEech UndeRstanding (AISSPER)Date: 01/2020 – 10/2024Funding: ANRCall: AAPG2019Partners: LIA (France), Orkis (France)URL: https://lium.univ-lemans.fr/en/aissper/LIUM Participant(s): Nathalie CamelinSylvain MeignierAntoine LaurentValentin PelloinEffective modeling of variabilities, exhibited by human’s speech at different levels (prosodic, acoustic, lexical,…), is still an open research problem for SLU systems. Even more, extracting relevant keywords, themes or concept mentions […]
End-To-end Evolutive Neural Networks for Speaker Recognition (EXTENSOR)Date: 01/2020 – 06/2022Funding: ANRCall: AAPG2019Partners: Eurecom (France)URL: https://lium.univ-lemans.fr/en/extensor/LIUM Participant(s): Anthony LarcherAntoine LaurentMarie TahonSylvain MeignierAmbuj Mehrish ExTENSoR proposes fundamental research that aims to explore the potential of using end-to-end and automatically learned / evolving articial neural networks in order to overcome the limitations of hand-crafted features and network […]
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, […]
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 […]
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 […]
Outils Neuronaux End-to-End pour la TRAduction des Communications (ON-TRAC)Date: 01/2019 – 03/2023Funding: ANRCall: GenericPartners: LIA (Avignon) (France), LIG (Grenoble) (France), Airbus (France)URL: https://lium.univ-lemans.fr/en/on-trac/LIUM Participant(s): Fethi BougaresAntoine LaurentAnthony LarcherLoïc BarraultThe ON-TRAC project proposes to radically change the architectures currently used in speech translation. It is based on end-to-end neural models for machine translation and is particularly […]
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