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.
no code implementations • 16 May 2022 • Yen-Ting Lin, Hui-Chi Kuo, Ze-Song Xu, Ssu Chiu, Chieh-Chi Hung, Yi-Cheng Chen, Chao-Wei Huang, Yun-Nung Chen
This paper introduces Miutsu, National Taiwan University's Alexa Prize TaskBot, which is designed to assist users in completing tasks requiring multiple steps and decisions in two different domains -- home improvement and cooking.
no code implementations • 12 Oct 2021 • Bowen Li, Dar-In Tai, Ke Yan, Yi-Cheng Chen, Shiu-Feng Huang, Tse-Hwa Hsu, Wan-Ting Yu, Jing Xiao, Le Lu, Adam P. Harrison
High diagnostic performance was observed across all viewpoints: area under the curves of the ROC to classify >=mild, >=moderate, =severe steatosis grades were 0. 85, 0. 90, and 0. 93, respectively.
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.
2 code implementations • 28 Feb 2020 • Yi-Cheng Chen, Ping-En Lu, Cheng-Shang Chang, Tzu-Hsuan Liu
By relating the propagation probabilities in the IC model to the transmission rates and recovering rates in the SIR model, we show 2 approaches of social distancing that can lead to a reduction of $R_0$.
no code implementations • 8 May 2019 • Yi-Cheng Chen, Angela Jakary, Sivakami Avadiappan, Christopher P. Hess, Janine M. Lupo
Quantitative susceptibility mapping (QSM) is a powerful MRI technique that has shown great potential in quantifying tissue susceptibility in numerous neurological disorders.