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Found 3 papers, 1 papers with code
Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question Labeling
We also prove that our model logically and incrementally increases the complexity of questions, and the generated multi-hop questions are also beneficial for training question answering models.
Multi-Type Conversational Question-Answer Generation with Closed-ended and Unanswerable Questions
Conversational question answering (CQA) facilitates an incremental and interactive understanding of a given context, but building a CQA system is difficult for many domains due to the problem of data scarcity.
Conversational QA Dataset Generation with Answer Revision
Conversational question--answer generation is a task that automatically generates a large-scale conversational question answering dataset based on input passages.
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