Representing and reasoning about arguments mined from texts and dialogues

Leila Amgoud (1, 2) , Philippe Besnard (3, 2) , Anthony Hunter (4)

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
2 CNRS - Centre National de la Recherche Scientifique
3 IRIT-LILaC - Logique, Interaction, Langue et Calcul
4 UCL - University College of London [London]

This paper presents a target language for representing arguments mined from natural language. The key features are the connection between possible reasons and possible claims and recursive embedding of such connections. Given a base of these arguments and counterarguments mined from texts or dialogues, we want be able combine them, deconstruct them, and to analyse them (for instance to check whether the set is inconsistent). To address these needs, we propose a formal language for representing reasons and claims, and a framework for inferencing with the arguments and counterarguments in this formal language.

Mots clés: Computer communication networks; Logics and meanings programs; Artificial intelligence; Information systems applications

Domaines: Intelligence artificielle [cs.AI]; Apprentissage [cs.LG]; Logique en informatique [cs.LO]; Informatique et langage [cs.CL]

Leila Amgoud, Philippe Besnard, Anthony Hunter. Representing and reasoning about arguments mined from texts and dialogues. 13th European Conference on Symbolic and Quantitative Approaches with Uncertainty (ECSQARU 2015), Jul 2015, Compiègne, France. pp.60-71, ⟨10.1007/978-3-319-20807-7_6⟩. ⟨hal-01276557⟩