We propose a multi-dimensional intra-attention recurrent network that models intricate similarities between each word pair in the sentence.
our novel deep learning model aims to capture 'contrast' (Riloff et al., 2013) and 'incongruity' (Joshi et al., 2015) within end-to-end neural networks.