Improving Natural Language Inference Using External Knowledge in the Science Questions Domain

Understand

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.
• Surprisingly, the use of methods based on structured knowledge -- a central topic in artificial intelligence -- has not received much attention vis-a-vis the NLI problem.