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Detecting sarcasm and verbal irony from people's subjective statements iscrucial to understanding their intended meanings and real sentiments andpositions in social scenarios. This paper describes the X-PuDu system thatparticipated in SemEval-2022 Task 6, iSarcasmEval - Intended Sarcasm Detectionin English and Arabic, which aims at detecting intended sarcasm in varioussettings of natural language understanding. Our solution finetunes pre-trainedlanguage models, such as ERNIE-M and DeBERTa, under the multilingual settingsto recognize the irony from Arabic and English texts. Our system ranked secondout of 43, and ninth out of 32 in Task A: one-sentence detection in English andArabic; fifth out of 22 in Task B: binary multi-label classification inEnglish; first out of 16, and fifth out of 13 in Task C: sentence-pairdetection in English and Arabic.

X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection