Add to ORKGIn 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 approaches are increasingly popular, they require large amounts of data and computational resources. There is still a substantial need for benchmarking methodologies ever upwards on under-resourced languages in data-scarce application conditions. Most pre-trained language models were massively studied using the English language and only a few of them were evaluated on French. 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. Especially we benchmar...
Transformer-based masked language models trained on general corpora, such as BERT and RoBERTa, have ...
International audienceLanguage models have become a key step to achieve state-of-the art results in ...
Self-Supervised Learning (SSL) using huge unlabeled data has been successfully explored for image an...
International audienceIn the last five years, the rise of the self-attentional Transformerbased arch...
For many tasks, state-of-the-art results have been achieved with Transformer-based architectures, re...
Recent advances in spoken language understanding benefited from Self-Supervised models trained on la...
International audienceOver the last five years, transfer approaches using Transformer-like models ha...
Web site: https://camembert-model.frPretrained language models are now ubiquitous in Natural Languag...
Modern Natural Language Processing (NLP) models based on Transformer structures represent the state ...
Recent advances in spoken language understanding benefited from Self-Supervised models trained on la...
International audienceFor many tasks, state-of-the-art results have been achieved with Transformer-b...
Self-supervised learning (SSL) is at the origin of unprecedented improvements in many different doma...
International audiencePretrained models through self-supervised learning have been recently introduc...
<p>Recent advances in NLP have significantly improved the performance of language models on a ...
Spoken language understanding (SLU) topic has seen a lot of progress these last three years, with th...
Transformer-based masked language models trained on general corpora, such as BERT and RoBERTa, have ...
International audienceLanguage models have become a key step to achieve state-of-the art results in ...
Self-Supervised Learning (SSL) using huge unlabeled data has been successfully explored for image an...
International audienceIn the last five years, the rise of the self-attentional Transformerbased arch...
For many tasks, state-of-the-art results have been achieved with Transformer-based architectures, re...
Recent advances in spoken language understanding benefited from Self-Supervised models trained on la...
International audienceOver the last five years, transfer approaches using Transformer-like models ha...
Web site: https://camembert-model.frPretrained language models are now ubiquitous in Natural Languag...
Modern Natural Language Processing (NLP) models based on Transformer structures represent the state ...
Recent advances in spoken language understanding benefited from Self-Supervised models trained on la...
International audienceFor many tasks, state-of-the-art results have been achieved with Transformer-b...
Self-supervised learning (SSL) is at the origin of unprecedented improvements in many different doma...
International audiencePretrained models through self-supervised learning have been recently introduc...
<p>Recent advances in NLP have significantly improved the performance of language models on a ...
Spoken language understanding (SLU) topic has seen a lot of progress these last three years, with th...
Transformer-based masked language models trained on general corpora, such as BERT and RoBERTa, have ...
International audienceLanguage models have become a key step to achieve state-of-the art results in ...
Self-Supervised Learning (SSL) using huge unlabeled data has been successfully explored for image an...