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8 December 2022 Enhancing sarcasm detection with external knowledge
Wangqun Chen, Guowei Li, Zheng You, Bo Liu
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Proceedings Volume 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022); 124740X (2022) https://doi.org/10.1117/12.2653533
Event: Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 2022, Guilin, China
Abstract
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.
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Wangqun Chen, Guowei Li, Zheng You, and Bo Liu "Enhancing sarcasm detection with external knowledge", Proc. SPIE 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 124740X (8 December 2022); https://doi.org/10.1117/12.2653533
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KEYWORDS
Data modeling
Neural networks
Feature extraction
Mining
Artificial neural networks
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