The NoRDF Project
Modeling and extracting complex information from natural language text
The project aims at modelling and extracting complex information from natural language texts. Specifically, we want to enrich knowledge bases with events, causalities, conditions, precedences, stories, negations and beliefs. In particular, we will study the expression of feelings.
Selected and financially supported by the French National Research Agency (ANR) and the Defence Innovation Agency (AID) as part of the National Programme for AI, the project has a total budget of €1.3 million for four years. It also relies on the experience, use cases and financial support of four industrial partners: Converteo, EDF, Groupe BPCE and Schlumberger.
If you would like to join and support the NoRDF project, please contact Fabian M. Suchanek.