However, how to represent word in an effective way remains an open problem for diverse natural language processing tasks, including machine reading comprehension for different languages.
for a language like Chinese with a large set of characters (typically, thousands of), lots of which are semantically ambiguous, using either word-level or character-level embedding alone to build the word representations would not be accurate enough.