Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series `Friends'

KoCoSa: Korean Context-aware Sarcasm Detection Dataset

Sarcasm is a way of verbal irony where someone says the opposite of what they mean, often to ridicule a person, situation, or idea. It is often difficult to detect sarcasm in the dialogue since detecting sarcasm should r…

Harnessing Context Incongruity for Sarcasm Detection

Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literature

Sarcasm is a sophisticated way of wrapping any immanent truth, mes-sage, or even mockery within a hilarious manner. The advent of communications using social networks has mass-produced new avenues of socialization. It ca…

Harnessing Cognitive Features for Sarcasm Detection

In this paper, we propose a novel mechanism for enriching the feature vector, for the task of sarcasm detection, with cognitive features extracted from eye-movement patterns of human readers. Sarcasm detection has been a…

Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm Detection

Sarcasm is a type of figurative language broadly adopted in social media and daily conversations. The sarcasm can ultimately alter the meaning of the sentence, which makes the opinion analysis process error-prone. In thi…