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...
Main Authors: | Yu, Mo, Chang, Shiyu, Zhang, Yang, Jaakkola, Tommi S |
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Other Authors: | MIT-IBM Watson AI Lab |
Format: | Article |
Language: | English |
Published: |
Association for Computational Linguistics
2021
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Online Access: | https://hdl.handle.net/1721.1/128926 |
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