Papers by Agnese Daffara
Fine-grained Fallacy Detection with Human Label Variation (2025.naacl-long)
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| Challenge: | Fallacy detection is an open challenge in NLP and has shown to be intrinsically difficult for both humans and machines. |
| Approach: | They propose a framework that minimizes annotation errors whilst keeping signals of human label variation. |
| Outcome: | The proposed framework minimizes annotation errors while keeping signals of human label variation. |