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WEBDial, a Multi-domain, Multitask Statistical Dialogue Framework with RDF

arXiv 2401.03905 ↗First posted 8 Jan 2024cs.CLcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 15 references that are in the map. First posted on arXiv 8 Jan 2024.

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References · 4

  1. 2017ParlAI: A Dialog Research Software Platformcited by 139
  2. 2017Rasa: Open Source Language Understanding and Dialogue Managementcited by 67
  3. 2020ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systemscited by 52
  4. 2020Plato Dialogue System: A Flexible Conversational AI Research Platformcited by 9

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