Recently, sequential transfer learning emerged as a modern technique for applying the
“pretrain then fine-tune” paradigm to leverage existing knowledge to improve the …

With the multiplication of social media platforms, which offer anonymity, easy access and
online community formation and online debate, the issue of hate speech detection and …

Sarcasm is a form of communication often used to express contempt or ridicule, where the
speaker conveys a message opposite to their true meaning, typically intending to mock or …

With the increasing popularity of posting multimodal messages online, many recent studies
have been carried out utilizing both textual and visual information for multi-modal sarcasm …

Sarcasm indicates the literal meaning is contrary to the real attitude. Considering the
popularity and complementarity of image-text data, we investigate the task of multi-modal …

Sarcasm, sentiment and emotion are tightly coupled with each other in that one helps the
understanding of another, which makes the joint recognition of sarcasm, sentiment and …

Sarcasm is a sophisticated linguistic phenomenon that is prevalent on today's social media
platforms. Multi-modal sarcasm detection aims to identify whether a given sample with multi …

Sentiment and sarcasm detection in social media contribute to assessing social opinion
trends. Over the years, most artificial intelligence (AI) methods have relied on real values to …

Sarcasm is a peculiar form and sophisticated linguistic act to express the incongruity of
someone's implied sentiment expression, which is a pervasive phenomenon in social media …

Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …