NLI is the task of determining whether a "hypothesis" is true(entailment), false(contradiction), or undetermined(neutral) given a "premise". It can be addressed by using related methods of NLSM.
Natural language sentence matching (NLSM) is the task of comparing two sentences and identifying the relationship between them. It is a fundamental technology for a variety of tasks.For example, paraphrase identification, question answering and information retrieval, NLI and machine comprehension.
References:
1 Reasoning About Entailment with Neural Attention.Tim Rocktaschel,et al.2016.
2 Learning Natural Language Inference with LSTM.ShuohangWang,Jing Jiang.2016.
3 A Decomposable Attention Model for Natural Language Inference.Ankur P.Parikh,et al.2016.
4 Recurrent Convolutional Neural Networks for Text Classification.Siwei Lai, et al.2015.
5 Bilateral Multi-Perspective Matching for Natural Language Sentences.ZhiguoWang,et al.2017.