Before revision:  XEL methods have been successful on high-resource languages, but generally perform poorly on low-resource languages due to lack of supervision. In this paper , we show a thorough analysis on existing low-resource XEL methods, especially on their candidate generation methods and limitations.
After revision:  XEL methods have been successful on high-resource languages, but generally perform poorly on low-resource languages (LRL) and, surprisingly, fail to generalize to text not taken from Wikipedia, on which they are usually trained. This paper provides a thorough analysis on existing low-resource XEL methods, especially on their candidate generation methods and limitations.