PINGAN Omini-Sinitic at SemEval-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection

Ye Wang, Yanmeng Wang, Baishun Ling, Zexiang Liao, Shaojun Wang, Jing Xiao


Abstract
This paper describes the second-placed system for subtask 2 and the ninth-placed system for subtask 1 in SemEval 2022 Task 4: Patronizing and Condescending Language Detection. We propose an ensemble of prompt training and label attention mechanism for multi-label classification tasks. Transfer learning is introduced to transfer the knowledge from binary classification to multi-label classification. The experimental results proved the effectiveness of our proposed method. The ablation study is also conducted to show the validity of each technique.
Anthology ID:
2022.semeval-1.40
Volume:
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
Month:
July
Year:
2022
Address:
Seattle, United States
Editors:
Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
313–318
Language:
URL:
https://aclanthology.org/2022.semeval-1.40
DOI:
10.18653/v1/2022.semeval-1.40
Bibkey:
Cite (ACL):
Ye Wang, Yanmeng Wang, Baishun Ling, Zexiang Liao, Shaojun Wang, and Jing Xiao. 2022. PINGAN Omini-Sinitic at SemEval-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 313–318, Seattle, United States. Association for Computational Linguistics.
Cite (Informal):
PINGAN Omini-Sinitic at SemEval-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection (Wang et al., SemEval 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.semeval-1.40.pdf
Video:
 https://aclanthology.org/2022.semeval-1.40.mp4