Sarcasm Generation with Emoji: A Multi-Modular Framework Incorporating Valence Reversal & Semantic Incongruity

Abstract

Sarcasm pertains to the subtle form of language that individuals use to express the op posite 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 con text, 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.