We allow our convolutional neural network to capture the connections between related words in a pair and we feed it with an additional binary-like input about overlapping words (Severyn and Moschitti, 2016).
in the input sentence, we associate an additional word overlap indicator feature o ∈ {0, 1} with each word w, where 1 corresponds to words that overlap in a given pair and 0 otherwise.