Papers by Miguel Arana-Catania
Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims (2022.naacl-main)
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| Challenge: | Existing datasets focus on a single medium, information domain or specific application . authors propose novel methods for automated veracity assessment based on Natural Language Inference . |
| Approach: | They propose to build a PANACEA dataset that combines different data sources with different foci to ensure a unique set of claims. |
| Outcome: | The proposed methods are competitive with SOTA methods and provide a detailed discussion. |