Papers with detecting sarcasm in text

1 papers
iSarcasm: A Dataset of Intended Sarcasm (2020.acl-main)

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Challenge: Existing methods for detecting intended sarcasm have shown low performance compared to previous studies.
Approach: They propose a dataset of tweets labeled for intended sarcasm by their authors . they aim to encourage future NLP research to develop methods for detecting sarkasmus in text as intended by the authors of the text .
Outcome: The proposed model shows that existing methods are biased or obvious and sarcasm could be understudied.

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