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

Won Ik Cho, Sangwhan Moon, Jongin Kim, Seokmin Kim, Nam Soo Kim


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.
Anthology ID:
2022.lrec-1.771
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
7122–7128
Language:
URL:
https://aclanthology.org/2022.lrec-1.771
DOI:
Bibkey:
Cite (ACL):
Won Ik Cho, Sangwhan Moon, Jongin Kim, Seokmin Kim, and Nam Soo Kim. 2022. StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 7122–7128, Marseille, France. European Language Resources Association.
Cite (Informal):
StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands (Cho et al., LREC 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lrec-1.771.pdf
Code
 cynthia/stylekqc
Data
StyleKQC