466 citations
- Université Grenoble AlpesFR105 papers
- Centre National de la Recherche ScientifiqueFR57 papers
- Institut polytechnique de GrenobleFR39 papers
- Institut national de recherche en sciences et technologies du numériqueFR31 papers
- Centre Inria de l'Université Grenoble AlpesFR25 papers
- GIPSA-LabFR15 papers
- Institute of MiningRU8 papers
- Université Paris CitéFR7 papers
- Institut de Recherche en Informatique de ToulouseFR6 papers
- Institut des langues et cultures d'Europe, Amérique, Afrique, Asie et AustralieFR6 papers
- Université Savoie Mont BlancFR6 papers
- Université Toulouse III - Paul SabatierFR6 papers
23 papers · 1 filter
What has LeBenchmark Learnt about French Syntax?
Zdravko Dugonjić, Adrien Pupier, Benjamin Lecouteux +1
The paper reports on a series of experiments aiming at probing LeBenchmark, a pretrained acoustic model trained on 7k hours of spoken French, for syntactic information. Pretrained…
Agent-based simulation of pedestrians' earthquake evacuation; application to Beirut, Lebanon
Rouba Iskandar, Kamel Allaw, Julie Dugdale +8
Most seismic risk assessment methods focus on estimating the damages to the built environment and the consequent socioeconomic losses without fully taking into account the social a…
Investigating the detection of Tortured Phrases in Scientific Literature
Puthineath Lay, Martin Lentschat, Cyril Labbé
With the help of online tools, unscrupulous authors can today generate a pseudo-scientific article and attempt to publish it. Some of these tools work by replacing or paraphrasing…
End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting
Thierry Desot, François Portet, Michel Vacher
Spoken Language Understanding (SLU) is a core task in most human-machine interaction systems. With the emergence of smart homes, smart phones and smart speakers, SLU has become a k…
An Empirical Study of End-to-end Simultaneous Speech Translation Decoding Strategies
Ha Nguyen, Yannick Estève, Laurent Besacier
This paper proposes a decoding strategy for end-to-end simultaneous speech translation. We leverage end-to-end models trained in offline mode and conduct an empirical study for two…
Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation
Elisa Gugliotta, Marco Dinarelli, Olivier Kraif
In this paper we propose a multi-task sequence prediction system, based on recurrent neural networks and used to annotate on multiple levels an Arabizi Tunisian corpus. The annotat…