"A comparison of few-shot and traditional named entity recognition models ..."

Yao Ge et al. (2022)

> Home

Details and statistics

DOI: 10.1109/ICHI54592.2022.00024

access: closed

type: Conference or Workshop Paper

metadata version: 2022-12-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ichi/GeGYAS22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ichi/GeGYAS22
Yao Ge, Yuting Guo, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker:
A comparison of few-shot and traditional named entity recognition models for medical text. ICHI 2022: 84-89

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.