hsgodhia/hred
Implements the paper " Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models" by Serban et al (currently on the MovieTriples dataset)
This project helps conversation designers and AI trainers create more natural and diverse chatbot responses. You input existing conversation data, and it generates multiple relevant and varied replies, which can be evaluated against human-like interactions. It's intended for those who build and refine AI dialogue systems for applications like customer service, virtual assistants, or entertainment.
116 stars. No commits in the last 6 months.
Use this if you need to develop or improve a dialogue system that can generate coherent, contextually appropriate, and diverse responses in a conversation.
Not ideal if you're looking for a pre-trained, production-ready chatbot or a tool to analyze existing human-to-human conversations.
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116
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Language
Python
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Last pushed
Apr 30, 2018
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