What is it about?
Past sarcasm detection works have been discussing incongruity in the text. But without the help of external knowledge and syntactic information, can the model really learn what we want? In this paper, we propose a GCN-based sarcasm detection model that introduces syntactic information and external knowledge.
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Why is it important?
We propose a model with better performance. Our article explicitly introduces syntactic information and external knowledge, which may inspire future sarcasm detection work.
Perspectives
I hope this article can provide a new idea for researchers engaged in sarcasm detection.
Chenwei Lou
Harbin Institute of Technology
Read the Original
This page is a summary of: Affective Dependency Graph for Sarcasm Detection, July 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3404835.3463061.
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