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Table 5: 

Performance on MegaVeridicality and CommitmentBank across all splits of the previous model (Stanovsky et al. 2017 and Rudinger et al.2018) and BERT trained on the concatenation of FactBank, MEANTIME, UW, UDS-IH2 using one set of parameters. White et al. (2018) did not report MAE results for MegaVeridicality.

 MegaVeridicalityCB
rMAErMAE
BERT 0.60 1.09 0.59 1.40 
Stanovsky et al. – – 0.50 2.04 
Rudinger et al. 0.64 – 0.33 1.87 
 MegaVeridicalityCB
rMAErMAE
BERT 0.60 1.09 0.59 1.40 
Stanovsky et al. – – 0.50 2.04 
Rudinger et al. 0.64 – 0.33 1.87 
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