Papers by Zailong Tian
FaGANet: An Evidence-Based Fact-Checking Model with Integrated Encoder Leveraging Contextual Information (2024.lrec-main)
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| Challenge: | Existing evidence-based fact-checking efforts are time-consuming and challenging . however, relying on surface patterns of claims makes it difficult to identify subtle connections between claims and evidence. |
| Approach: | They propose a model that leverages sentence-level attention and graph attention network to enhance accuracy and fusing claims and evidence information for accurate identification of even well-disguised data. |
| Outcome: | The proposed model improves accuracy and state-of-the-art in the evidence-based fact-checking task. |