  Paraphrasing is often performed with less concern for controlled style
conversion. Especially for questions and commands, style-variant paraphrasing
can be crucial in tone and manner, which also matters with industrial
applications such as dialog system. In this paper, we attack this issue with a
corpus construction scheme that simultaneously considers the core content and
style of directives, namely intent and formality, for the Korean language.
Utilizing manually generated natural language queries on six daily topics, we
expand the corpus to formal and informal sentences by human rewriting and
transferring. We verify the validity and industrial applicability of our
approach by checking the adequate classification and inference performance that
fit with the fine-tuning approaches, at the same time proposing a supervised
formality transfer task.
