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

CoRR(2024)

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摘要
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.
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