To effectively learn the representations of large linguistic units, a promising approach is word composition, which is based on the Frege's principle of composition: (Pelletier, 2001) -the meaning of a complex expression is determined by the meanings of their constituent expressions and the rules used to combine them.
given a linguistic unit S with [w 1 , w 2 , ..., w k ] words, a composition method first infers the vectors of all words in S based on embedding matrix.