ascopubs.org

SmokeBERT: A Bidirectional Encoder Representations From Transformers–Based Model for Quantitative Smoking History Extraction From Clinical Narratives to Improve Lung Cancer ...

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 ...
InfoQ

ExBERT, a Tool for Exploring Learned Representations in NLP Models

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Hosted on MSN

What is BERT, and why should we care?

BERT stands for Bidirectional Encoder Representations from Transformers. It is a type of deep learning model developed by Google in 2018, primarily used in natural language processing tasks such as ...
Forbes

Google Uses BERT Technology To Develop Its Search Results

Google has recently gone live with their latest update that involves the use of BERT technology in search engine results. According to HubSpot, Google processes over 70 000 search inquiries per second ...