Published on in Vol 17, No 8 (2015): August

Automatically Detecting Failures in Natural Language Processing Tools for Online Community Text

Automatically Detecting Failures in Natural Language Processing Tools for Online Community Text

Automatically Detecting Failures in Natural Language Processing Tools for Online Community Text

Albert Park 1, PhD;  Andrea L Hartzler 2, PhD;  Jina Huh 3, PhD;  David W McDonald 4, PhD;  Wanda Pratt 5, PhD

1 Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA, US

2 Group Health Research Institute , Seattle, WA, US

3 Department of Biomedical Informatics, University of California San Diego , San Diego, CA, US

4 Human Centered Design & Engineering, University of Washington , Seattle, WA, US

5 The Information School, University of Washington , Seattle, WA, US

Corresponding Author:

  • Albert Park, PhD
  • Department of Biomedical Informatics and Medical Education
  • School of Medicine
  • University of Washington
  • Box SLU-BIME 358047, 850 Republican St, Building C
  • Seattle, WA
  • US
  • Phone: 1 206-743-7843
  • Email: alpark1216@gmail.com