Debiasing NLU models via causal intervention and counterfactual reasoning
Recent studies have shown that strong Natural Language Understanding (NLU) models are prone to relying on annotation biases of the datasets as a shortcut, which goes against the underlying mechanisms of the task of interest. To reduce such biases, several recent works introduce debiasing methods to...
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Main Authors: | TIAN, Bing, CAO, Yixin, ZHANG, Yong, XING, Chunxiao |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2022
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Online Access: | https://ink.library.smu.edu.sg/sis_research/7454 https://ink.library.smu.edu.sg/context/sis_research/article/8457/viewcontent/21389_Article_Text_25402_1_2_20220628.pdf |
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Institution: | Singapore Management University |
Language: | English |
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