Correctable-DST: Mitigating Historical Context Mismatch between Training and Inference for Improved Dialogue State Tracking
Hongyan Xie, Haoxiang Su, Shuangyong Song, Hao Huang, Bo Zou, Kun Deng, Jianghua Lin, Zhihui Zhang, Xiaodong He
Abstract
Hongyan Xie, Haoxiang Su, Shuangyong Song, Hao Huang, Bo Zou, Kun Deng, Jianghua Lin, Zhihui Zhang, Xiaodong He. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.
Topics & Concepts
Context (archaeology)InferenceComputer scienceZhàngArtificial intelligenceState (computer science)Natural language processingProgramming languageHistoryChinaArchaeologyTopic ModelingSpeech and dialogue systemsMachine Learning in Healthcare