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Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
[article]
2018
arXiv
pre-print
Natural Language Inference (NLI) is fundamental to many Natural Language Processing (NLP) applications including semantic search and question answering. The NLI problem has gained significant attention thanks to the release of large scale, challenging datasets. Present approaches to the problem largely focus on learning-based methods that use only textual information in order to classify whether a given premise entails, contradicts, or is neutral with respect to a given hypothesis.
arXiv:1809.05724v2
fatcat:7dolmjp3rvgxljilc6qanqsgvy