Revisiting Challenges in Data-to-Text Generation with Fact Grounding
Table 8: Performances of models on RW-FG
['Model', 'Dev RG', 'Dev RG', 'Dev CS', 'Dev CS', 'Dev CS', 'Dev CO', 'Dev BLEU', 'Test RG', 'Test RG', 'Test CS', 'Test CS', 'Test CS', 'Test CO', 'Test BLEU']
Different from Puduppully et al. The ENT model only outperforms the basic ED-CC model but surprisingly yields lower Content Selection (CS) measures. Our NCP+TR model outperforms all baselines except for slightly lower Content Selection Precision (CSP) compared to the NCP model.