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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...
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| Publicado no: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | 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 |
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