"NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and ..."

Shusen Liu et al. (2019)

> Home

Details and statistics

DOI: 10.1109/TVCG.2018.2865230

access: closed

type: Journal Article

metadata version: 2024-08-04

- view
  authority control:
- export record
  dblp key:
  - journals/tvcg/LiuLLSPB19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tvcg/LiuLLSPB19
Shusen Liu, Zhimin Li, Tao Li, Vivek Srikumar, Valerio Pascucci, Peer-Timo Bremer:
NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models. IEEE Trans. Vis. Comput. Graph. 25(1): 651-660 (2019)

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.