Exploratory action


Apollo (Aristotle's POLitics : Language and numerical Optimization)
Apollo (Aristotle's POLitics : Language and numerical Optimization)
The study of ideas of historical texts require an expertise identifying the context, the precise
meaning of the statements and to establish their genealogy. Statistical counts cannot take
into account the nuances induced by the style, the presence or the absence of a word
than may change the meaning of a sentence, the context.

Our project aims at automatizing such a task by combining the reinforcement learning
technique with human expertise to create the first lexicon of ideas from the corpus of
Aristotle's Politics, then to apply such techniques to other corpuses and the to automatic
text generation.

Inria teams involved
In partnership with
l’équipe Archimède de l'Université de Haute-Alsace


Antoine Lejay

Scientific leader