Supervised deep learning-based approaches have been applied to task-orie...
In the last five years, the rise of the self-attentional Transformer-bas...
For many tasks, state-of-the-art results have been achieved with
Transfo...
We propose to address online speaker diarization as a combination of
inc...
On-the-job learning consists in continuously learning while being used i...
This paper describes the participation of LIMSI UPV team in SemEval-2020...
Despite the growing popularity of metric learning approaches, very littl...
We present a new English-French test set for the evaluation of Machine
T...
In this paper we survey the methods and concepts developed for the evalu...
In the biomedical domain, the lack of sharable datasets often limit the
...