Natural Language Inference over Interaction Space
Table 3: SNLI result.
['[BOLD] Model', '[BOLD] Test Accuracy']
Experiments (2-7) are sentence encoding based model. Bowman et al. Vendrov et al. To capture sentence-level semantics, Mou et al. propose a stack-augmented parser-interpreter neural network (SPINN) which incorporates parsing information in a sequential manner. Liu et al. The next group of model, experiments (8-18), uses cross sentence feature. Rocktäschel et al. Cheng et al. Parikh et al. Re-read LSTM proposed by Sha et al. Chen et al. We show our model, DIIN, achieves state-of-the-art performance on the competitive leaderboard.