A set oriented semantic network formalism for the representation of sentence meaning

This publication presents a set-based formalism based on semantic networks able to represent the meaning of a large variety of natural language sentences. This formalism was used as output formalism of the system SABA, a robust analyzer of French which the author developed at University of Liège as part of his PhD research. The analyzer could process a large variety of French sentences, translating them in formal semantic graphs.