Web site: https://camembert-model.frPretrained language models are now ubiquitous in Natural Language Processing. Despite their success, most available models have either been trained on English data or on the concatenation of data in multiple languages. This makes practical use of such models—in all languages except English—very limited. Aiming to address this issue for French, we release CamemBERT, a French version of the Bi-directional Encoders for Transformers (BERT). We measure the performance of CamemBERT compared to multilingual models in multiple downstream tasks, namely part-of-speech tagging, dependency parsing, named-entity recognition, and natural language inference. CamemBERT improves the state of the art for most of the tasks ...
International audienceOver the last five years, transfer approaches using Transformer-like models ha...
Large pre-trained masked language models have become state-of-the-art solutions for many NLP problem...
International audienceThe World Wide Web is the greatest information space unseen until now, distrib...
Web site: https://camembert-model.frPretrained language models are now ubiquitous in Natural Languag...
<p>Recent advances in NLP have significantly improved the performance of language models on a ...
International audienceLanguage models have become a key step to achieve state-of-the art results in ...
In the last five years, the rise of the self-attentional Transformer-based architectures led to stat...
Language models have become a key step to achieve state-of-the art results in many NLP tasks. Levera...
peer reviewedPre-trained Language Models such as BERT have become ubiquitous in NLP where they have ...
International audienceDistributed word representations are popularly used in many tasks in natural l...
Access to large pre-trained models of varied architectures, in many different languages, is central ...
Modern Natural Language Processing (NLP) models based on Transformer structures represent the state ...
International audienceWe introduce BERTweetFR, the first largescale pre-trained language model for F...
International audienceIn the last five years, the rise of the self-attentional Transformerbased arch...
peer reviewedDespite the widespread use of pre-trained models in NLP, well-performing pre-trained mo...
International audienceOver the last five years, transfer approaches using Transformer-like models ha...
Large pre-trained masked language models have become state-of-the-art solutions for many NLP problem...
International audienceThe World Wide Web is the greatest information space unseen until now, distrib...
Web site: https://camembert-model.frPretrained language models are now ubiquitous in Natural Languag...
<p>Recent advances in NLP have significantly improved the performance of language models on a ...
International audienceLanguage models have become a key step to achieve state-of-the art results in ...
In the last five years, the rise of the self-attentional Transformer-based architectures led to stat...
Language models have become a key step to achieve state-of-the art results in many NLP tasks. Levera...
peer reviewedPre-trained Language Models such as BERT have become ubiquitous in NLP where they have ...
International audienceDistributed word representations are popularly used in many tasks in natural l...
Access to large pre-trained models of varied architectures, in many different languages, is central ...
Modern Natural Language Processing (NLP) models based on Transformer structures represent the state ...
International audienceWe introduce BERTweetFR, the first largescale pre-trained language model for F...
International audienceIn the last five years, the rise of the self-attentional Transformerbased arch...
peer reviewedDespite the widespread use of pre-trained models in NLP, well-performing pre-trained mo...
International audienceOver the last five years, transfer approaches using Transformer-like models ha...
Large pre-trained masked language models have become state-of-the-art solutions for many NLP problem...
International audienceThe World Wide Web is the greatest information space unseen until now, distrib...