WEBDial, a Multidomain, Multitask Statistical Dialogue Framework with RDF

Morgan Veyret, Jean-Baptiste Duchene, Kekeli Afonouvi, Quentin Brabant, Gwénolé Lecorvé, Lina Maria Rojas-Barahona

Abstract: 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.