A Conventional Dialogue Model based on Empirically Specified Dialogue Games

Autor: Jean-Philippe Kotowicz, Alexandre Pauchet, Nathalie Chaignaud, Guillaume Dubuisson Duplessis
Přispěvatelé: Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: 2015 IEEE 27th International Conference on Tools with Artificial Intelligence
IEEE 27th International Conference on Tools with Artificial Intelligence
IEEE 27th International Conference on Tools with Artificial Intelligence, Nov 2015, Vietri sul Mare, Italy. pp.997-1004, ⟨10.1109/ICTAI.2015.143⟩
ICTAI
DOI: 10.1109/ICTAI.2015.143⟩
Popis: International audience; Our work aims at designing a dialogue manager dedicated to agents that interact with humans. In this article, we show how empirically specified dialogue games can be employed on both interpretative and generative levels of dialogue management. We present DOGMA, an open-source module that can be used by an agent to manage its conventional communicative behaviour. We show that our library of dialogue games can be used into DOGMA to generate fragments of dialogue that are strongly coherent from a human perspective.
Databáze: OpenAIRE