Caption Generation of Robot Behaviors based on Unsupervised Learning of Action Segments
Table 1: Evaluation with BLEU scores. Note that the range is from 0 to 100.
['Model', 'BLEU-2', 'BLEU-3', 'BLEU-4']
Vanilla encoder-decoder scores were deficient and scores are improved by introducing segmentation methods. Both the explicit segmentation and the implicit segmentation were effective in improving scores. The hybrid segmentation achieved the best score in each metric; it indicates the explicit segmentation and the implicit segmentation made different contributions to each other. However, scores are slightly low even if the task is simple. We will investigate the reason on the next human subjective evaluation and generation analysis.