On the other hand, the information captured by word embeddings can be seamlessly used in downstream tasks, which makes embedding a potential solution for the aforementioned problem.
conventional word embeddings using one unified embedding for each word are not able to distinguish different relations types (such as various syntactic relations, which is crucial for SP) among words.