4 papers · 1 filter
On the cross-lingual transferability of multilingual prototypical models across NLU tasks
Oralie Cattan, Christophe Servan, Sophie Rosset
Supervised deep learning-based approaches have been applied to task-oriented dialog and have proven to be effective for limited domain and language applications when a sufficient n…
Benchmarking Transformers-based models on French Spoken Language Understanding tasks
Oralie Cattan, Sahar Ghannay, Christophe Servan +1
In the last five years, the rise of the self-attentional Transformer-based architectures led to state-of-the-art performances over many natural language tasks. Although these appro…
On the Usability of Transformers-based models for a French Question-Answering task
Oralie Cattan, Christophe Servan, Sophie Rosset
For many tasks, state-of-the-art results have been achieved with Transformer-based architectures, resulting in a paradigmatic shift in practices from the use of task-specific archi…
Qwant Research @DEFT 2019: Document matching and information retrieval using clinical cases
Estelle Maudet, Oralie Cattan, Maureen de Seyssel +1
This paper reports on Qwant Research contribution to tasks 2 and 3 of the DEFT 2019's challenge, focusing on French clinical cases analysis. Task 2 is a task on semantic similarity…