Enhancing sarcasm detection with external knowledge

Sarcasm detection aims to identify whether a text is sarcastic or not. In this paper, we propose a knowledge- and sentiment-enriched framework. Instead of modeling users' features or searching word pairs and snippets with sentiment conflicts in text, our framework integrates dialogue-related external knowledge and leverages inter-sentence sentiment to aid understanding sarcasm with the discussion context. Experiments on two discussion datasets show that our proposed framework yields better performance with enriched knowledge and sentiment information.