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EmoKbGAN: Emotion controlled response generation using Generative Adversarial Network for knowledge grounded conversation
Neural open-domain dialogue systems often fail to engage humans in long-term interactions on popular topics such as sports, politics, fashion, and entertainment. However, to have more socially engaging conversations, we need to formulate strategies that consider emotion, relevant-facts, and user beh...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934437/ https://www.ncbi.nlm.nih.gov/pubmed/36795731 http://dx.doi.org/10.1371/journal.pone.0280458 |