Interventional training for out-of-distribution natural language understanding

Out-of-distribution (OOD) settings are used to measure a model’s performance when the distribution of the test data is different from that of the training data. NLU models are known to suffer in OOD settings (Utama et al., 2020b). We study this issue from the perspective of causality, which sees con...

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Main Authors: YU, Sicheng, JIANG, Jing, ZHANG, Hao, NIU, Yulei, SUN, Qianru, BING, Lidong
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Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/sis_research/7548
https://ink.library.smu.edu.sg/context/sis_research/article/8551/viewcontent/Debias_Sicheng.pdf
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Institution: Singapore Management University
Language: English

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