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
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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