Integrating Conversational Entities and Dialogue Histories with Knowledge Graphs and Generative AI

Graham Wilcock, Kristiina Jokinen


Abstract
Existing methods for storing dialogue history and for tracking mentioned entities in spoken dialogues usually handle these tasks separately. Recent advances in knowledge graphs and generative AI make it possible to integrate them in a framework with a uniform representation for dialogue management. This may help to build more natural and grounded dialogue models that can reduce misunderstanding and lead to more reliable dialogue-based interactions with AI agents. The paper describes ongoing work on this approach.
Anthology ID:
2025.iwsds-1.31
Volume:
Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology
Month:
May
Year:
2025
Address:
Bilbao, Spain
Editors:
Maria Ines Torres, Yuki Matsuda, Zoraida Callejas, Arantza del Pozo, Luis Fernando D'Haro
Venues:
IWSDS | WS
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Publisher:
Association for Computational Linguistics
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Pages:
290–298
Language:
URL:
https://preview.aclanthology.org/fix-sig-urls/2025.iwsds-1.31/
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Cite (ACL):
Graham Wilcock and Kristiina Jokinen. 2025. Integrating Conversational Entities and Dialogue Histories with Knowledge Graphs and Generative AI. In Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology, pages 290–298, Bilbao, Spain. Association for Computational Linguistics.
Cite (Informal):
Integrating Conversational Entities and Dialogue Histories with Knowledge Graphs and Generative AI (Wilcock & Jokinen, IWSDS 2025)
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PDF:
https://preview.aclanthology.org/fix-sig-urls/2025.iwsds-1.31.pdf