The NoRDF Project Modeling and extracting complex information from natural language text

The NoRDF Project is a scientific project at Télécom Paris that aims to model and extract complex information from natural language text. More precisely, we want to enrich knowledge bases with events, causation, conditions, precedence, stories, negation, and beliefs. 

Selected and financially supported by the French National Research Agency (ANR) and the French Defense Innovation Agency (AID) as part of the National Program for AI, the project has a total budget of 1.3 million euros for a four-year period. It also draws on the experience, use cases and financial support of our partners: Converteo, EDF, Groupe BPCE, Gendarmerie nationale, Sereneo, and Schlumberger.

The NoRDF project is led by Fabian Suchanek, Professor at Télécom Paris, Institut Polytechnique de Paris, specialist in knowledge bases and ontologies and co-creator of the YAGO knowledge base. Chloé Clavel, Professor at Télécom Paris and specialist in natural language processing, is the co-leader of the project on the sentiment analysis component.

The NoRDF project will end in 2024. We are happy to announce that it will be succeeded by a new project: Knowledge-based Language Models!

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