Papers by Dongyeon Won

1 papers
KoCoSa: Korean Context-aware Sarcasm Detection Dataset (2024.lrec-main)

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Challenge: Sarcasm is a form of verbal irony where someone says the opposite of what they mean . misunderstanding this sarcasm may lead to fatal errors in dialogue systems .
Approach: They propose a dataset for the Korean dialogue sarcasm detection task that uses 12.8K daily Korean dialogues and the labels on the last response.
Outcome: The proposed system outperforms strong baselines like large language models in the Korean sarcasm detection task.

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