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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332012/ https://www.ncbi.nlm.nih.gov/pubmed/32614929 http://dx.doi.org/10.1371/journal.pone.0235367 |