This further contributes to the success in numerous natural language processing (NLP) tasks such as language modeling (Cheng et al., 2016;Inan et al., 2017), sentiment analysis (Cheng et al., 2016;Kumar et al., 2016), and reading comprehension (Cheng et al., 2016;Chen et al., 2016;Shen et al., 2017).
effective and efficient grounding of distributional embeddings remains challenging.