ShiZhengyan/LearnToAsk
[NAACL 2022] Dataset and codes for the paper titled "Learning to Execute Actions or Ask Clarification Questions" in Findings of NAACL 2022
This tool helps developers working on conversational AI agents. It provides a dataset and code to train an agent that can either follow instructions or ask clarifying questions when an instruction is ambiguous. You would use this if you are developing AI assistants or chatbots.
No commits in the last 6 months.
Use this if you are building an intelligent agent and want it to be able to identify ambiguous instructions and proactively ask for clarification.
Not ideal if you are a non-technical user looking for a ready-to-use conversational AI system, as this project provides research code and datasets for developers.
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Python
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Last pushed
Jul 25, 2022
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