all AI news
Let the CAT out of the bag: Contrastive Attributed explanations for Text. (arXiv:2109.07983v2 [cs.CL] UPDATED)
Nov. 1, 2022, 1:16 a.m. | Saneem Chemmengath, Amar Prakash Azad, Ronny Luss, Amit Dhurandhar
cs.CL updates on arXiv.org arxiv.org
Contrastive explanations for understanding the behavior of black box models
has gained a lot of attention recently as they provide potential for recourse.
In this paper, we propose a method Contrastive Attributed explanations for Text
(CAT) which provides contrastive explanations for natural language text data
with a novel twist as we build and exploit attribute classifiers leading to
more semantically meaningful explanations. To ensure that our contrastive
generated text has the fewest possible edits with respect to the original text, …
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Healthcare Data Modeler/Data Architect - REMOTE
@ Perficient | United States
Data Analyst – Sustainability, Green IT
@ H&M Group | Stockholm, Sweden
RWE Data Analyst
@ Sanofi | Hyderabad
Machine Learning Engineer
@ JPMorgan Chase & Co. | Jersey City, NJ, United States