ECO-DST: An Efficient Cross-lingual Dialogue State Tracking Framework - researchr publication authors

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Chao Huang, Hui Di, Lina Wang, Kazushige Ouchi. ECO-DST: An Efficient Cross-lingual Dialogue State Tracking Framework. In MLMI 2021: The 4th International Conference on Machine Learning and Machine Intelligence, Hangzhou, China, September 17 - 19, 2021. pages 77-82, ACM, 2021. [doi]

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