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Found 6 papers, 0 papers with code
On the cross-lingual transferability of multilingual prototypical models across NLU tasks
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 number of training examples are available.
Benchmarking Transformers-based models on French Spoken Language Understanding tasks
In this paper, we propose a unified benchmark, focused on evaluating models quality and their ecological impact on two well-known French spoken language understanding tasks.
On the Usability of Transformers-based models for a French Question-Answering task
In this paper, we establish a state-of-the-art of the efforts dedicated to the usability of Transformer-based models and propose to evaluate these improvements on the question-answering performances of French language which have few resources.
L'adaptabilit\'e comme comp\'etence pour les syst\`emes de dialogue orient\'es t\^ache (Adaptability as a skill for goal-oriented dialog systems)
{\'E}tendre les capacit{\'e}s d{'}adaptabilit{\'e} des syst{\`e}mes {\`a} toujours plus de nouveaux domaines sans donn{\'e}es de r{\'e}f{\'e}rence constitue une pierre d{'}achoppement de taille.
Qwant Research @DEFT 2019: Document matching and information retrieval using clinical cases
For this task, we propose an approach based on language models and evaluate the impact on the results of different preprocessings and matching techniques.
Qwant Research @DEFT 2019 : appariement de documents et extraction d'informations \`a partir de cas cliniques (Document matching and information retrieval using clinical cases)
Pour r{\'e}soudre cette t{\^a}che, nous proposons une approche reposant sur des mod{\`e}les de langue et {\'e}valuons l{'}impact de diff{\'e}rents pr{\'e}-traitements et de diff{\'e}rentes techniques d{'}appariement sur les r{\'e}sultats.
