no code implementations • EMNLP 2021 • YingMei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang
Although various data augmentation approaches have been proposed to synthesize training data in low-resource target languages, the augmented data sets are often noisy, and thus impede the performance of SLU models.
no code implementations • SEMEVAL 2020 • YingMei Guo, Jinfa Huang, Yanlong Dong, Mingxing Xu
In our system, we utilize five types of representation of data as input of base classifiers to extract information from different aspects.
no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • YingMei Guo, Zhiyong Wu, Mingxing Xu
Unlike non-conversation scenes, emotion recognition in dialogues (ERD) poses more complicated challenges due to its interactive nature and intricate contextual information.