Instead of discrete features and logics, continuous representation of the sentence is more robust to unseen features without sacrificing performance (Bowman et al., 2015).
the attention model based on LSTM can successfully identify the word-by-word correspondences between the two sentences that lead to entailment or contradiction, which makes the entailment relation inference more focused on local information and less vulnerable to misleading information from other parts of the sentence (Rocktäschel et al., 2015;Wang and Jiang, 2015).