May 19, 2022, 1:12 a.m. | Lingyu Gao, Debanjan Ghosh, Kevin Gimpel

cs.LG updates on arXiv.org arxiv.org

We propose a type-controlled framework for inquisitive question generation.
We annotate an inquisitive question dataset with question types, train question
type classifiers, and finetune models for type-controlled question generation.
Empirical results demonstrate that we can generate a variety of questions that
adhere to specific types while drawing from the source texts. We also
investigate strategies for selecting a single question from a generated set,
considering both an informative vs.~inquisitive question classifier and a
pairwise ranker trained from a small set …

arxiv generation study type

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