Sammanfattning
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.
| Originalspråk | engelska |
|---|---|
| Titel på värdpublikation | Proceedings Of The 15th International Workshop On Spoken Dialogue Systems Technology |
| Redaktörer | Maria Ines Torres, Yuki Matsuda, Zoraida Callejas, Arantza DelPozo, Luis Fernando D'Haro |
| Antal sidor | 9 |
| Utgivningsort | Stroudsburg |
| Förlag | ACL |
| Utgivningsdatum | 2025 |
| Sidor | 290-298 |
| ISBN (elektroniskt) | 979-8-89176-248-0 |
| Status | Publicerad - 2025 |
| MoE-publikationstyp | A4 Artikel i en konferenspublikation |
| Evenemang | International Workshop on Spoken Dialogue Systems Technology - Bilbao, Spanien Varaktighet: 27 maj 2025 → 30 maj 2025 Konferensnummer: 15 |
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