1 code implementation • EMNLP 2021 • Po-Nien Kung, Sheng-Siang Yin, Yi-Cheng Chen, Tse-Hsuan Yang, Yun-Nung Chen
Multi-task auxiliary learning utilizes a set of relevant auxiliary tasks to improve the performance of a primary task.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Po-Nien Kung, Tse-Hsuan Yang, Yi-Cheng Chen, Sheng-Siang Yin, Yun-Nung Chen
Extracting rationales can help human understand which information the model utilizes and how it makes the prediction towards better interpretability.