ClarQ: A large-scale and diverse dataset for Clarification Question Generation

Answer-based adversarial training for generating clarification questions

Original

Sudha Rao and Hal Daumé III. 2019 · 1904

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Long short-term memory

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The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems

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Learning to ask good questions: Ranking clarification questions using neural expected value of perfect information

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Learning to ask questions in open-domain conversational systems with typed decoders

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