What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
Table 1: Comparison between different models on METEOR, ROUGE-L, CIDEr, BLEU-4 and SPICE.
['Method', 'METEOR', 'ROUGE', 'CIDEr', 'BLEU-4', 'SPICE']
Automatic metrics, including METEOR, CIDEr, BLEU-4, ROUGE-L and SPICE are used for quantitative evaluation. Our models (MLE, BLEU-RL and ReCo-RL) achieve competitive or better performance over the baselines on most metrics except CIDEr. Specially, BLEU-RL achieves better performance in METEOR, ROUGE-L and BLEU-4, while ReCo-RL improves the CIDEr score.