no code implementations • ROCLING 2021 • Cing-Fang Shih, Yu-Hsiang Tseng, Ching-Wen Yang, Pin-Er Chen, Hsin-Yu Chou, Lian-Hui Tan, Tzu-Ju Lin, Chun-Wei Wang, Shu-Kai Hsieh
To investigate the factors underlying the correctness of the model’s predictions, we conduct a series of analyses, including qualitative error analysis and quantitative analysis of linguistic features with logistic regressions.
no code implementations • LREC 2022 • Yu-Hsiang Tseng, Cing-Fang Shih, Pin-Er Chen, Hsin-Yu Chou, Mao-Chang Ku, Shu-Kai Hsieh
Next, an experiment is conducted on the dataset to examine to what extent a pretrained masked language model is aware of the constructions.