ntust-nlp-1 at ROCLING-2021 Shared Task: Educational Texts Dimensional Sentiment Analysis using Pretrained Language Models
Yi-Wei Wang | Wei-Zhe Chang | Bo-Han Fang | Yi-Chia Chen | Wei-Kai Huang | Kuan-Yu Chen
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)
This technical report aims at the ROCLING 2021 Shared Task: Dimensional Sentiment Analysis for Educational Texts. In order to predict the affective states of Chinese educational texts, we present a practical framework by employing pre-trained language models, such as BERT and MacBERT. Several valuable observations and analyses can be drawn from a series of experiments. From the results, we find that MacBERT-based methods can deliver better results than BERT-based methods on the verification set. Therefore, we average the prediction results of several models obtained using different settings as the final output.
2020福爾摩沙臺語語音辨識比賽之初步實驗 (A Preliminary Study of Formosa Speech Recognition Challenge 2020 – Taiwanese ASR)
Fu-Hao Yu | Ke-Han Lu | Yi-Wei Wang | Wei-Zhe Chang | Wei-Kai Huang | Kuan-Yu Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 26, Number 1, June 2021
- Wei-Zhe Chang 2
- Wei-Kai Huang 2
- Kuan-Yu Chen 2
- Bo-Han Fang 1
- Yi-Chia Chen 1
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