DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification
Table 4: The performance comparison of DTCA under different claims with different number of comments.
['Claims', 'Datasets', 'A (%)', 'P (%)', 'R (%)', 'F1 (%)']
We observe that DTCA achieves the satisfactory performance in claims with more than 8 comments, while in claims with less than 8 comments, DTCA does not perform well, underperforming its best performance by at least 4.92% and 3.10% in accuracy on the two datasets respectively. Two reasons might explain the issue: 1) The claim with few comments has limited attention, and its false parts are hard to be found by the public; 2) DTCA is capable of capturing worthwhile semantics from multiple comments, but it is not suitable for verifying claims with fewer comments.