shawnwun/NNDIAL
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
This toolkit helps you build and train conversational AI models that can understand user requests and generate appropriate responses for specific tasks. It takes a dataset of dialogues and a database of relevant information as input, producing a trained model ready to engage in goal-oriented conversations. This is designed for researchers and developers working on advanced dialogue systems, especially those focusing on end-to-end trainable models.
351 stars. No commits in the last 6 months.
Use this if you are a researcher or advanced developer looking to experiment with and build sophisticated, end-to-end trainable task-oriented dialogue models, particularly for scenarios requiring a system to understand user intent and access a database to fulfill requests.
Not ideal if you need a plug-and-play solution for building simple chatbots or if you're not comfortable working with model configuration files and running training scripts.
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Last pushed
Jun 14, 2017
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