"Interpretability Analysis for Named Entity Recognition to Understand ..."

Oshin Agarwal et al. (2020)

> Home

Details and statistics

DOI: —

access: open

type: Informal or Other Publication

metadata version: 2020-04-14

- view
  - electronic edition @ arxiv.org (open access)
- export record
  dblp key:
  - journals/corr/abs-2004-04564
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2004-04564
Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova:
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve. CoRR abs/2004.04564 (2020)

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.