A new BERT-EmoShiftNet fusion framework achieves 85.0% accuracy in recognizing psychological stress by integrating semantic, ...

We cross-validated four pretrained Bidirectional Encoder Representations from Transformers (BERT)–based models—BERT, BioBERT, ClinicalBERT, and MedBERT—by fine-tuning them on 90% of 3,261 sentences ...

Artificial Intelligence (AI) and machine learning have made significant strides in recent years, and one of the most noteworthy advancements in the field of natural language processing (NLP) is BERT, ...

A consortium of research institutions and industry partners such as the AI platform Hugging Face has presented the multilingual encoder model EuroBERT, which aims to improve performance in European ...