Énergie textuelle de mémoires associatives

In this paper we present a neural networks approach, inspired by statistical phy- sics of magnetic systems, to study fundamental problems in Natural Language Processing. The algorithm models documents as neural network whose textual energy is studied. We obtained good results on the application of this method to automatic summarization and thematic borders