Word composition is a promising technique for representation learning of large linguistic units (e.g., phrases, sentences and documents).
most of the current composition models do not take the ambiguity of words and the context outside of a linguistic unit into consideration for learning representations, and consequently suffer from the inaccurate representation of semantics.