SOTAVerified

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

2021-03-24LREC 2022Code Available0· sign in to hype

Won Ik Cho, Sangwhan Moon, Jong In Kim, Seok Min Kim, Nam Soo Kim

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

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.

Tasks

Reproductions