Yüklüyor......
Towards sentiment aided dialogue policy learning for multi-intent conversations using hierarchical reinforcement learning
PURPOSE: Developing a Dialogue/Virtual Agent (VA) that can handle complex tasks (need) of the user pertaining to multiple intents of a domain is challenging as it requires the agent to simultaneously deal with multiple subtasks. However, majority of these end-to-end dialogue systems incorporate only...
Kaydedildi:
| Yayımlandı: | PLoS One |
|---|---|
| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Public Library of Science
2020
|
| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7332012/ https://ncbi.nlm.nih.gov/pubmed/32614929 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0235367 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|