GOD (General Ontology Discovery) is an unsupervised system to extract semantic relations among domain specific entities and concepts from texts. Operationally, it acts as a search...
Given the growing complexity of tasks that spoken dialogue systems are trying to handle, Reinforcement Learning (RL) has been increasingly used as a way of automatically learning ...
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
In this paper, we introduce a formal-language model for explicitly formalizing agent-environment interaction in a multiagent systems (MAS) framework: Conversational Grammar System...
A Domain-Specific Modeling Language (DSMLs) describes the concepts and their relationships of a particular domain, in a metamodel. Using a DSML, it is possible to describe a wide ...
Brice Morin, Gilles Perrouin, Philippe Lahire, Oli...