Sarcasm pertains to the subtle form of language that individuals use to express the opposite of what is implied. We present a novel architecture for sarcasm generation with emoji from a non-sarcastic input sentence. We divide the generation task into two sub tasks: one for generating textual sarcasm and another for collecting emojis associated with those sarcastic sentences. Two key elements of sarcasm are incorporated into the textual sarcasm generation task: valence reversal and semantic incongruity with context, where the context may involve shared commonsense or general knowledge between the speaker and their audience. The majority of existing sarcasm generation works have focused on this textual form. However, in the real world, when written texts fall short of effectively capturing the emotional cues of spoken and face-to-face communication, people often opt for emojis to accurately express their emotions. Due to the wide range of applications of emojis, incorporating appropriate emojis to generate textual sarcastic sentences helps advance sarcasm generation. We conclude our study by evaluating the generated sarcastic sentences using human judgement. All the codes and data used in this study will be made publicly available.

论文提出一种新颖的基于 Emoji 的讽刺生成方法，通过将生成任务分为文本和 Emoji 收集两个子任务，运用相反情感和语义不协调等两个元素来生成文本讽刺，最后通过人工评估验证其可行性。

用情感反转和语义不协调生成带讽刺意味的表情符号语句