However, conventional neural attention models for entailment recognition problem treat sentences as sequences, ignoring the fact that sentences are formed from the bottom up with syntactic tree structures, which inherently associate with the semantic meanings.
using the tree structure of the sentences will be beneficial in inducing the entailment relations between parts of the two sentences, and then further improving the sentence-level entailment relation classification (Watanabe et al., 2012).