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
Abstract
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.- Anthology ID:
- 2021.rocling-1.46
- Volume:
- Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)
- Month:
- October
- Year:
- 2021
- Address:
- Taoyuan, Taiwan
- Editors:
- Lung-Hao Lee, Chia-Hui Chang, Kuan-Yu Chen
- Venue:
- ROCLING
- SIG:
- Publisher:
- The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
- Note:
- Pages:
- 354–359
- Language:
- URL:
- https://aclanthology.org/2021.rocling-1.46
- DOI:
- Cite (ACL):
- Yi-Wei Wang, Wei-Zhe Chang, Bo-Han Fang, Yi-Chia Chen, Wei-Kai Huang, and Kuan-Yu Chen. 2021. ntust-nlp-1 at ROCLING-2021 Shared Task: Educational Texts Dimensional Sentiment Analysis using Pretrained Language Models. In Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021), pages 354–359, Taoyuan, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
- Cite (Informal):
- ntust-nlp-1 at ROCLING-2021 Shared Task: Educational Texts Dimensional Sentiment Analysis using Pretrained Language Models (Wang et al., ROCLING 2021)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2021.rocling-1.46.pdf