snakeztc/NeuralDialog-CVAE
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
This project helps researchers and developers create conversational AI models that can generate more diverse and natural-sounding dialogue. By analyzing existing conversations, it learns patterns to produce new responses, taking into account the nuances of human interaction. The output is generated dialogue, which can be used for building more advanced chatbots or virtual assistants.
310 stars. No commits in the last 6 months.
Use this if you need to build dialogue systems that generate varied and contextually rich responses rather than repetitive or generic ones.
Not ideal if you're looking for a ready-to-use chatbot or a simple script for basic text generation.
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310
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OpenEdge ABL
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Apache-2.0
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Last pushed
Nov 26, 2018
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