"Mining Twitter as a First Step toward Assessing the Adequacy of Gender ..."

Amanda Hicks et al. (2015)

> Home

Details and statistics

DOI: —

access: closed

type: Conference or Workshop Paper

metadata version: 2024-04-17

- view
  - electronic edition @ amia.org (archived)
- export record
  dblp key:
  - conf/amia/HicksHRMXFYFHB15
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/amia/HicksHRMXFYFHB15
Amanda Hicks, William R. Hogan, Michael W. Rutherford, Bradley A. Malin, Mengjun Xie, Christiane Fellbaum, Zhijun Yin, Daniel Fabbri, Josh Hanna, Jiang Bian:
Mining Twitter as a First Step toward Assessing the Adequacy of Gender Identification Terms on Intake Forms. AMIA 2015

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.