277 citations · 307 across the 12 of their papers we have counts for
4 papers · 1 filter
A dual task learning approach to fine-tune a multilingual semantic speech encoder for Spoken Language Understanding
Gaëlle Laperrière, Sahar Ghannay, Bassam Jabaian +1
Self-Supervised Learning is vastly used to efficiently represent speech for Spoken Language Understanding, gradually replacing conventional approaches. Meanwhile, textual SSL model…
Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification
Pierre Lepagnol, Thomas Gerald, Sahar Ghannay +2
This study is part of the debate on the efficiency of large versus small language models for text classification by prompting.We assess the performance of small language models in…
New Semantic Task for the French Spoken Language Understanding MEDIA Benchmark
Nadège Alavoine, Gaëlle Laperriere, Christophe Servan +2
Intent classification and slot-filling are essential tasks of Spoken Language Understanding (SLU). In most SLUsystems, those tasks are realized by independent modules. For about fi…
mALBERT: Is a Compact Multilingual BERT Model Still Worth It?
Christophe Servan, Sahar Ghannay, Sophie Rosset
Within the current trend of Pretained Language Models (PLM), emerge more and more criticisms about the ethical andecological impact of such models. In this article, considering the…