WEBDial, a Multi-domain, Multitask Statistical Dialogue Framework with RDF
Veyret, Morgan, Duchene, Jean-Baptiste, Afonouvi, Kekeli, Brabant, Quentin, Lecorve, Gwenole, Rojas-Barahona, Lina M.
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Jan-8-2024
- Country:
- North America > United States
- California > San Francisco County > San Francisco (0.04)
- Europe
- France (0.04)
- United Kingdom > England
- Oxfordshire > Oxford (0.04)
- Cambridgeshire > Cambridge (0.04)
- Ireland > Leinster
- County Dublin > Dublin (0.04)
- Denmark > Capital Region
- Copenhagen (0.04)
- North America > United States
- Genre:
- Research Report (0.50)
- Technology: