Consecutive Question Generation via Dynamic Multitask Learning. (arXiv:2211.08850v1 [cs.CL])

In this paper, we propose the task of consecutive question generation (CQG),
which generates a set of logically related question-answer pairs to understand
a whole passage, with a comprehensive consideration of the aspects including
accuracy, coverage, and informativeness. To achieve this, we first examine the
four key elements of CQG, i.e., question, answer, rationale, and context
history, and propose a novel dynamic multitask framework with one main task
generating a question-answer pair, and four auxiliary tasks generating other
elements. It …

arxiv multitask learning