@inproceedings{wang-etal-2022-pingan,
title = "{PINGAN} Omini-Sinitic at {S}em{E}val-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection",
author = "Wang, Ye and
Wang, Yanmeng and
Ling, Baishun and
Liao, Zexiang and
Wang, Shaojun and
Xiao, Jing",
editor = "Emerson, Guy and
Schluter, Natalie and
Stanovsky, Gabriel and
Kumar, Ritesh and
Palmer, Alexis and
Schneider, Nathan and
Singh, Siddharth and
Ratan, Shyam",
booktitle = "Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)",
month = jul,
year = "2022",
address = "Seattle, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.semeval-1.40",
doi = "10.18653/v1/2022.semeval-1.40",
pages = "313--318",
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.",
}
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%0 Conference Proceedings
%T PINGAN Omini-Sinitic at SemEval-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection
%A Wang, Ye
%A Wang, Yanmeng
%A Ling, Baishun
%A Liao, Zexiang
%A Wang, Shaojun
%A Xiao, Jing
%Y Emerson, Guy
%Y Schluter, Natalie
%Y Stanovsky, Gabriel
%Y Kumar, Ritesh
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y Singh, Siddharth
%Y Ratan, Shyam
%S Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, United States
%F wang-etal-2022-pingan
%X 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.
%R 10.18653/v1/2022.semeval-1.40
%U https://aclanthology.org/2022.semeval-1.40
%U https://doi.org/10.18653/v1/2022.semeval-1.40
%P 313-318
Markdown (Informal)
[PINGAN Omini-Sinitic at SemEval-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection](https://aclanthology.org/2022.semeval-1.40) (Wang et al., SemEval 2022)
ACL