Natural Language Processing has a number of important uses for nonproliferation purposes. This includes categorising news articles and extracting the names of entities, organisations, and facilities from text. This project focuses on training NLP models so that they are tailored to the needs of the nonproliferation regime. A focus of this project has been on preparing a corpse of news articles about nuclear issues to identify nuclear terms and entities mentioned in the text. This can enable the training or retraining of a machine learning model to extract nuclear-related terms. When applied in a news article analysis workflow, this could allow for the identification of nuclear facilities mentioned in the article to determine if the news article contains something new.

This project focuses on the development of a nonproliferation Knowledgegraphs as an enabler for big data and machine learning in the nonproliferation domain. Imagine having a tool that lets you link together all your data and that provides insight into this data that answers specific questions.