Therefore 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.
this setting can not capture long-distance relationships unless we enlarge the window indefinitely which would inevitably cause the data sparsity problem.