Enhancing Conversational Model With Deep Reinforcement Learning and Adversarial Learning

Enhancing Conversational Model With Deep Reinforcement Learning and Adversarial Learning

This paper develops a Chatbot conversational model that is aimed to achieve two goals: 1) utilizing contextual information to generate accurate and relevant responses, and 2) implementing strategies to make conversations human-like. We propose a supervised learning approach for model development and...

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Bibliographic Details
Main Authors: Quoc-Dai Luong Tran, Anh-Cuong Le, Van-Nam Huynh
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
BERT
chatbot
reinforcement learning
sequence to sequence
generative adversarial nets
Online Access:https://ieeexplore.ieee.org/document/10189840/

Internet

https://ieeexplore.ieee.org/document/10189840/

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