The text T is said to entail the hypothesis H if, typically, a human reading T would infer that H is most likely true (Dagan et al.
we turn to existing knowledge resources that were created using both manual and automatic methods, expressing various types of linguistic and statistical information that is relevant for entailment prediction: WordNet: contains manually annotated relations such as hypernymy, synonymy, antonymy, derivation, and entailment.