X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection
Han Ya, Yekun Chai, Shuohuan Wang, Yu Ming Sun, Hongyi Huang, Guanghao Chen, Yitong Xu, Yang Yang · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) · 2022
Detecting sarcasm and verbal irony from people's subjective statements is crucial to understanding their intended meanings and real sentiments and positions in social scenarios.This paper describes the X-PuDu system that participated in SemEval-2022 Task 6, iSarcasmEval -Intended Sarcasm Detection in English and Arabic, which aims at detecting intended sarcasm in various settings of natural language understanding.Our solution finetunes pre-trained language models, such as ERNIE-M and De-BERTa, under the multilingual settings to recognize the irony from Arabic and English texts.Our system ranked second out of 43, and ninth out of 32 in Task A: one-sentence detection in English and Arabic; fifth out of 22 in Task B: binary multi-label classification in English; first out of 16, and fifth out of 13 in Task C: sentence-pair detection in English and Arabic.