StyleKQC：一个面向朝鲜语问句和命令的风格变体释义语料库
StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands
摘要：
释义通常不太关心受控的风格转换。特别是对于问题和命令，风格变体释义在语气和方式上可能至关重要，这对于对话系统等工业应用也很重要。在本文中，我们攻击这个问题的语料库建设计划，同时考虑的核心内容和风格的指令，即意图和形式，为韩国语。利用人工生成的自然语言查询的六个日常话题，我们扩大了语料库的正式和非正式的句子，通过人工重写和转移。我们验证了我们的方法的有效性和工业适用性，通过检查适当的分类和推理性能，适合与传统的微调方法，在同一时间提出了一个监督的形式转移任务。
英文摘要：
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 systems. 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 conventional fine-tuning approaches, at the same time proposing a supervised formality transfer task.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
