Their model does not take advantage of global contexts (word embeddings induced from massive text) as was used in <cite>Noraset et al. (2017)</cite> . Our task of describing phrases with its given context is a generalization of these three tasks (Noraset et al., 2017; Ni and Wang, 2017; Gadetsky et al., 2018) , and the proposed method naturally utilizes both local and global contexts of a word in question.