WEBDial, a Multi-domain, Multitask Statistical Dialogue Framework with
  RDF
Morgan Veyret Jean-Baptiste Duchene Kekeli Afonouvi Quentin Brabant Gwenole Lecorve Lina M. Rojas-Barahona
Typically available dialogue frameworks have adopted a semantic
representation based on dialogue-acts and slot-value pairs. Despite its
simplicity, this representation has disadvantages such as the lack of
expressivity, scalability and explainability. We present WEBDial: a dialogue
framework that relies on a graph formalism by using RDF triples instead of
slot-value pairs. We describe its overall architecture and the graph-based
semantic representation. We show its applicability from simple to complex
applications, by varying the complexity of domains and tasks: from single
domain and tasks to multiple domains and complex tasks.