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The ability to generate clarification questions i.e., questions that identify useful missing information in a given context, is important in reducing ambiguity.
Towards open intent discovery for conversational text
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Learning to ask good questions: Ranking clarification questions using neural expected value of perfect information
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Stay hungry, stay focused: Generating informative and specific questions in information-seeking conversations
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Answer-based Adversarial Training for Generating Clarification Questions
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What makes a good conversation? how controllable attributes affect human judgments
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Yake! keyword extraction from single documents using multiple local features
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Clarq: A large-scale and diverse dataset for clarification question generation
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