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.　©　2022　SPIE.