Natural Language Inference

Natural Language Inference (NLI) is the task of determining whether a hypothesis is true given a premise, including three types of relationships: entailment, contradiction, and neutral. This task often employs methods such as deep learning, and common datasets used include SNLI, MultiNLI, and SciTail. NLI has significant application value in natural language processing, capable of enhancing machine understanding and reasoning abilities.