RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification

Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding 0001. RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. In Subhrajit Roy, Stephen Pfohl, Emma Rocheteau, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer, editors, Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021, Virtual Event. Volume 158 of Proceedings of Machine Learning Research, pages 196-208, PMLR, 2021. [doi]

@inproceedings{JaiswalTGRP021,
  title = {RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification},
  author = {Ajay Jaiswal and Liyan Tang and Meheli Ghosh and Justin F. Rousseau and Yifan Peng and Ying Ding 0001},
  year = {2021},
  url = {https://proceedings.mlr.press/v158/jaiswal21a.html},
  researchr = {https://researchr.org/publication/JaiswalTGRP021},
  cites = {0},
  citedby = {0},
  pages = {196-208},
  booktitle = {Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021, Virtual Event},
  editor = {Subhrajit Roy and Stephen Pfohl and Emma Rocheteau and Girmaw Abebe Tadesse and Luis Oala and Fabian Falck and Yuyin Zhou and Liyue Shen and Ghada Zamzmi and Purity Mugambi and Ayah Zirikly and Matthew B. A. McDermott and Emily Alsentzer},
  volume = {158},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}