Publié le 11 février 2021–Mis à jour le 15 juillet 2022
Partager cette page
Special conference Mirko Degli Esposti
Partager cette page
Mirko Degli Esposti est professeur de mathématiques, Vice-recteur de l'Université de Bologne, Italie, invité par le laboratoire AGM
Recent developments of A.I. show an increasing capability of generating artificial media and art contents, with huge impact on the creativity Industry. After a brief introduction, we concentrate on automatic text generation.
In particular, Long Short-Term Memory (LSTM) networks have recently shown remarkable performance in several tasks dealing with natural language generation, such as image captioning or poetry composition.
Yet, only few works have analyzed text generated by LSTMs in order to quantitatively evaluate to which extent such artificial texts resemble those generated by humans. For LSTM networks a temperature-like parameter controlling the generation process shows an optimal value---for which the produced texts are closest (in a way we will explain) to real language---consistent across all the different entropic and statistical features investigated.
Date : jeudi 19 septembre 2019 de 12h30 à 14h00
Lieu : Maison internationale de la recherche, Neuville-sur-Oise.