· 2016
A Persona-Based Neural Conversation Model
- 913citations
- 2016year
Short summary
A novel neural conversation model generates responses that reflect specific personas, improving dialogue coherence and engagement.
AI-generated from the title and abstract; the full text is not read.
Key points
- Introduces a neural conversation model that incorporates persona information.
- Persona embeddings are used to condition response generation.
- Evaluations show improved response coherence and engagement.
- Demonstrates a method for creating more personalized chatbots.
AI-generated from the title and abstract; the full text is not read.
Abstract
Jiwei Li, Michel Galley, Chris Brockett, Georgios Spithourakis, Jianfeng Gao, Bill Dolan. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2016.
The authors' abstract, as published at the source., 2016 · DOI ↗
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Field: Human-Computer Interaction
Human-Computer InteractionComputer Science