"On Cross-Domain Pre-Trained Language Models for Clinical Text Mining: How ..."

Yu-Ping Wu et al. (2022)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2210.12770

access: open

type: Informal or Other Publication

metadata version: 2022-10-28

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2210-12770
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2210-12770
Yu-Ping Wu, Lifeng Han, Valerio Antonini, Goran Nenadic:
On Cross-Domain Pre-Trained Language Models for Clinical Text Mining: How Do They Perform on Data-Constrained Fine-Tuning? CoRR abs/2210.12770 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.