From Plots to Endings: A Reinforced Pointer Generator for Story Ending Generation
Table 2: Results on Embedding Based Metrics.
['[BOLD] Models', '[BOLD] STCS-p', '[BOLD] EACS-p', '[BOLD] VECS-p', '[BOLD] GMS-p']
4.4.2 Results on Embedding Based Metrics We compute cosine similarities between generated endings and plots. For comparison, the cosine similarity between target endings and plots is provided as the ground-truth reference. Embedding-based metrics tend to acquire more semantics than word-overlap metrics. It can also be observed that scores of all models surpass that of the ground-truth reference. This indicates that nearly every model can generate endings which have higher cosine similarity scores with the plot. But it cannot just measure these endings by calculating these scores.