Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation. (arXiv:2305.03088v1 [cs.CL])

Conversational Question Generation (CQG) is a critical task for machines to
assist humans in fulfilling their information needs through conversations. The
task is generally cast into two different settings: answer-aware and
answer-unaware. While the former facilitates the models by exposing the
expected answer, the latter is more realistic and receiving growing attentions
recently. What-to-ask and how-to-ask are the two main challenges in the
answer-unaware setting. To address the first challenge, existing methods mainly
select sequential sentences in context as the …

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