jasonwu0731/trade-dst
Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743
This project helps build more intelligent conversational AI. It takes user utterances from a dialogue and identifies key information like 'hotel reservation for two people' or 'finding a taxi to the airport', even for topics not seen before. It outputs a structured representation of the user's intent and preferences. This is for AI developers, researchers, or product managers building task-oriented chatbots and virtual assistants.
394 stars. No commits in the last 6 months.
Use this if you need to extract specific details and user goals from customer conversations to power a task-oriented chatbot or virtual assistant, especially across various service domains.
Not ideal if you are looking for a general-purpose conversational model that handles open-ended dialogue without specific task completion goals.
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394
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114
Language
Python
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Last pushed
Dec 08, 2022
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