CodeBERT pre-trains a bimodal model on code and text pairs plus unimodal data to achieve state-of-the-art results on natural language code search and code documentation generation.
arXiv preprint arXiv:1901.08746 , year=
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CL 2roles
background 1polarities
background 1representative citing papers
ClinicalBERT applies BERT-style transformers to clinical notes and outperforms baselines on 30-day readmission prediction while revealing human-judged medical concept links.
citing papers explorer
-
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
CodeBERT pre-trains a bimodal model on code and text pairs plus unimodal data to achieve state-of-the-art results on natural language code search and code documentation generation.
-
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
ClinicalBERT applies BERT-style transformers to clinical notes and outperforms baselines on 30-day readmission prediction while revealing human-judged medical concept links.