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 DeBERTa, 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.
翻译:本文描述了参加SemEval-2022任务6的X-PuDu系统,iSarcasmEval-Intrited Sarcasm 探测英语和阿拉伯语,其目的是在各种自然语言理解环境中发现有意的讽刺。我们的解决方案在多种语言环境中对诸如ERNIE-M和DeBERTA等经过预先训练的语言模型进行微调,以识别阿拉伯文和英文文本中的讽刺。我们的系统在A任务A中排名第二,在A任务中排名第九:英语和阿拉伯语的一句话检测;在B任务B任务B中排名第五:英语的二进制多标签分类;在C任务C(英语和阿拉伯语的句式检测)中排名第16位,在13个任务C任务(英语和阿拉伯语的句式检测)中排名第五。