WEBDial, a Multi-domain, Multitask Statistical Dialogue Framework with RDF
This work addresses the problem of limited expressivity and scalability in dialogue systems for researchers and developers, though it appears incremental as it builds on existing graph-based approaches.
The authors tackled the limitations of existing dialogue frameworks by introducing WEBDial, which uses RDF triples instead of slot-value pairs for improved expressivity, scalability, and explainability, and demonstrated its applicability across varying domain and task complexities.
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.