HIT-SCIR at WASSA 2023: Empathy and Emotion Analysis at the Utterance-Level and the Essay-Level

Xin Lu, Zhuojun Li, Yanpeng Tong, Yanyan Zhao, Bing Qin


Abstract
This paper introduces the participation of team HIT-SCIR to the WASSA 2023 Shared Task on Empathy Detection and Emotion Classification and Personality Detection in Interactions. We focus on three tracks: Track 1 (Empathy and Emotion Prediction in Conversations, CONV), Track 2 (Empathy Prediction, EMP) and Track 3 (Emotion Classification, EMO), and designed three different models to address them separately. For Track 1, we designed a direct fine-tuning DeBERTa model for three regression tasks at the utterance-level. For Track 2, we designed a multi-task learning RoBERTa model for two regression tasks at the essay-level. For Track 3, we designed a RoBERTa model with data augmentation for the classification task at the essay-level. Finally, our team ranked 1st in the Track 1 (CONV), 5th in the Track 2 (EMP) and 3rd in the Track 3 (EMO) in the evaluation phase.
Anthology ID:
2023.wassa-1.54
Volume:
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Jeremy Barnes, Orphée De Clercq, Roman Klinger
Venue:
WASSA
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
574–580
Language:
URL:
https://aclanthology.org/2023.wassa-1.54
DOI:
10.18653/v1/2023.wassa-1.54
Bibkey:
Cite (ACL):
Xin Lu, Zhuojun Li, Yanpeng Tong, Yanyan Zhao, and Bing Qin. 2023. HIT-SCIR at WASSA 2023: Empathy and Emotion Analysis at the Utterance-Level and the Essay-Level. In Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, pages 574–580, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
HIT-SCIR at WASSA 2023: Empathy and Emotion Analysis at the Utterance-Level and the Essay-Level (Lu et al., WASSA 2023)
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