Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control

Selective rationalization has become a common mechanism to ensure that predictive models reveal how they use any available features. The selection may be soft or hard, and identifies a subset of input features relevant for prediction. The setup can be viewed as a cooperate game between the selector...

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Bibliographic Details
Main Authors: Yu, Mo (Author), Chang, Shiyu (Author), Zhang, Yang (Author), Jaakkola, Tommi S (Author)
Other Authors: MIT-IBM Watson AI Lab (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computational Linguistics, 2021-01-04T16:24:53Z.
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