Papers with sarcasm detection research
Reactive Supervision: A New Method for Collecting Sarcasm Data (2020.emnlp-main)
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| Challenge: | sarcasm detection requires large amounts of labeled data, with a high cost and noisy labels. |
| Approach: | They propose a method that uses the dynamics of online conversations to collect sarcasm data. |
| Outcome: | The proposed method can be adapted to other affective computing domains, opening up new research opportunities. |
A Multimodal Corpus for Emotion Recognition in Sarcasm (2022.lrec-1)
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| Challenge: | sarcasm and emotion are often used in conversational systems to generate the right response. |
| Approach: | They use a sarcastic expression dataset pre-annotated with 9 emotions to detect emotion . they identify and correct 343 incorrect emotion labels and label each sarkastic utterance with one of four sarcasm types. |
| Outcome: | The proposed model outperforms state-of-the-art sarcasm detection methods by using a multimodal sarcastic detection dataset. |