To address this problem, the dependency-based embedding model (Levy and Goldberg, 2014) is proposed to treat a word through separate ones, e.g., 'food@dobj' and 'food@nsubj', under different syntactic relations, with the skip-gram (Mikolov et al., 2013) model being used to train the final embeddings.
this method is limited in two aspects.