Not only for machine reading comprehension tasks, character embedding has also benefit other natural language process tasks, such as word segmentation , machine translation (Luong and Manning, 2016), tagging (Yang et al., 2016; and language modeling (Verwimp et al., 2017;Miyamoto and Cho, 2016).
character embedding only shows marginal improvement due to a lack internal semantics.