snakeztc/NeuralDialogPapers
Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)
This resource provides a curated list of research papers on building automated conversational systems using deep learning techniques. It helps researchers and engineers understand different approaches to creating bots that can either perform specific tasks (like booking a flight) or engage in open-ended conversations. The papers showcase various inputs and outputs related to dialogue systems, from natural language understanding to response generation.
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Use this if you are a researcher or engineer looking for a comprehensive overview of academic advancements in deep learning for conversational AI, whether for task-oriented agents or general chatbots.
Not ideal if you are a business user seeking a low-code or no-code solution to build a chatbot, or if you need practical implementation guides for existing platforms.
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Jul 08, 2020
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