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

Shusen Liu et al. (2019)

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DOI: 10.1109/TVCG.2018.2865230

access: closed

type: Journal Article

metadata version: 2023-08-30

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  dblp key:
  - journals/tvcg/LiuLLSPB19
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  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)

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