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Multilingual spoken language understanding (SLU) consists of two sub-tasks, namely intent detection and slot filling.
XLDA: cross-lingual data augmentation for natural language inference and question answering
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GL-CLeF: A global–local contrastive learning framework for cross-lingual spoken language understanding
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Improving pretrained cross-lingual language models via self-labeled word alignment
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Consistency regularization for cross-lingual fine-tuning
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Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian-Guang Lou, Wanxiang Che, and Min-Yen Kan. 2022 · 2022
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