NCU-NLP at ROCLING-2021 Shared Task: Using MacBERT Transformers for Dimensional Sentiment Analysis

Man Chen Hung, Chao Yi Chen, Pin Jung Chen, Lung Hao Lee

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

We use the MacBERT transformers and fine-tune them to ROCLING-2021 shared tasks using the CVAT and CVAS data. We compare the performance of MacBERT with the other two transformers BERT and RoBERTa in the valence and arousal dimensions, respectively. MAE and correlation coefficient (r) were used as evaluation metrics. On ROCLING-2021 test set, our used MacBERT model achieves 0.611 of MAE and 0.904 of r in the valence dimensions; and 0.938 of MAE and 0.549 of r in the arousal dimension.

原文???core.languages.en_GB???
主出版物標題ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing
編輯Lung-Hao Lee, Chia-Hui Chang, Kuan-Yu Chen
發行者The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
頁面380-384
頁數5
ISBN(電子)9789869576949
出版狀態已出版 - 2021
事件33rd Conference on Computational Linguistics and Speech Processing, ROCLING 2021 - Taoyuan, Taiwan
持續時間: 15 10月 202116 10月 2021

出版系列

名字ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing

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???event.eventtypes.event.conference???33rd Conference on Computational Linguistics and Speech Processing, ROCLING 2021
國家/地區Taiwan
城市Taoyuan
期間15/10/2116/10/21

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