Keyword-guided neural conversational model

Keyword-guided neural conversational model

We study the problem of imposing conversational goals/keywords on open-domain conversational agents, where the agent is required to lead the conversation to a target keyword smoothly and fast. Solving this problem enables the application of conversational agents in many real-world scenarios, e.g....

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Bibliographic Details
Main Authors: Zhong, Peixiang, Liu, Yong, Wang, Hao, Miao, Chunyan
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Conversational Agent
Keyword Transition
Online Access:https://ojs.aaai.org/index.php/AAAI/issue/archive
https://hdl.handle.net/10356/152721
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Institution: Nanyang Technological University
Language: English

Internet

https://ojs.aaai.org/index.php/AAAI/issue/archive
https://hdl.handle.net/10356/152721

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