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🌐 Entity
BERT (language model)
Series of language models developed by Google AI
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📌 Topics
- Artificial Intelligence (1)
- Healthcare Technology (1)
- Natural Language Processing (1)
🏷️ Keywords
transformer (1) · named entity recognition (1) · entity linking (1) · biomedical NLP (1) · SympTEMIST (1) · RoBERTa (1) · SapBERT (1) · clinical text (1)
📖 Key Information
Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. It learns to represent text as a sequence of vectors using self-supervised learning. It uses the encoder-only transformer architecture.
📰 Related News (1)
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🇺🇸 Team Fusion@ SU@ BC8 SympTEMIST track: transformer-based approach for symptom recognition and linking
arXiv:2604.06424v1 Announce Type: cross Abstract: This paper presents a transformer-based approach to solving the SympTEMIST named entity recognition...