It is a bit confusing about the word error rates in Fig. 3. The description in the paper use word error rate (WER) all the time. But in Fig. 3, the authors used (100 - WER) as the vertical axis. It is not clear about the motivation of doing this. Note: the WER can exceed 100% in some cases.
Some grammar issues need to be reviewed. For example, at line 394 in section 4.2: Like the baseline models Shon et al. (2021), we to train on the finer label set (18 entity tags) and evaluate on the com396 bined version (7 entity tags) -> "we to ...."
3. The description in the paper use word error rate (WER) all the time. But in Fig. 3, the authors used (100 - WER) as the vertical axis. It is not clear about the motivation of doing this. Note: the WER can exceed 100% in some cases. Some grammar issues need to be reviewed. For example, at line 394 in section 4.2: Like the baseline models Shon et al. (2021), we to train on the finer label set (18 entity tags) and evaluate on the com396 bined version (7 entity tags) -> "we to ...."