The NoRDF Project
Modeling and extracting complex information from natural language text
The NoRDF Chair partners workshop:
Fact Extraction / Knowledge Representation,
M. Fabian Suchanek, Professeur at Télécom Paris, Institut Polytechnique de Paris.
Natural language is not easy for a computer to understand. In this presentation, I will introduce the main techniques of automatic language processing used to extract facts from written text: entity recognition, disambiguation, and fact construction. I will also present the basics of knowledge representation.
Registration is reserved for the Chair partners.