Question answering is a part of information retrieval and natural language processing (NLP), which is able to answer questions posed by humans in a natural language. Question answering systems can pull answers from an unstructured collection of natural language documents called, in that case, knowledge base.
This notebook demonstrates question answering with OpenVINO using the Squad-tuned BERT model from Open Model Zoo.
If you have not done so already, please follow the Installation Guide to install all required dependencies.