Following Kim (2014), one dimensional convolution operates the convolution kernel in sequential order in Equation 1, where x i ∈ R d represents the d dimensional word representation for the i-th word in mensional word representation for the i-th word in the sentence, and ⊕ is the concatenation operator.
x i,j refers to concatenated word vector from the i-th word to the (i + j)-th word: Sequential word concatenation x i,j works as n-gram models which feeds local information into convolution operations.