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Paraphrasing is often performed with less concern for controlled styleconversion. Especially for questions and commands, style-variant paraphrasingcan be crucial in tone and manner, which also matters with industrialapplications such as dialog systems. In this paper, we attack this issue with acorpus construction scheme that simultaneously considers the core content andstyle of directives, namely intent and formality, for the Korean language.Utilizing manually generated natural language queries on six daily topics, weexpand the corpus to formal and informal sentences by human rewriting andtransferring. We verify the validity and industrial applicability of ourapproach by checking the adequate classification and inference performance thatfit with conventional fine-tuning approaches, at the same time proposing asupervised formality transfer task.

StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands