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In real dialogue scenarios, the existing slot filling model, which tends to memorize entity patterns, has a significantly reduced generalization facing Out-of-Vocabulary (OOV) problems.
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Chih-Wen Goo, Guang Gao, Yun-Kai Hsu, Chih-Li Huo, Tsung-Chieh Chen, Keng-Wei Hsu, and Yun-Nung Chen, · 2018
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“Adversarial semantic decoupling for recognizing open-vocabulary slots,”
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“Imputing out-of-vocabulary embeddings with love makes language models robust with little cost,”
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Hwa-Yeon Kim, Yoon-Hyung Roh, and Young-Gil Kim, · 2019
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Keqing He, Weiran Xu, and Yuanmeng Yan, · 2020
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Lihu Chen, Gaël Varoquaux, and Fabian M Suchanek, · 2022
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