activity
20182023
most citedKLUE: Korean Language Understanding Evaluation

77 citations · 125 across the 10 of their papers we have counts for

collaborators

14 papers

cs.CL2023

When Crowd Meets Persona: Creating a Large-Scale Open-Domain Persona Dialogue Corpus

Won Ik Cho, Yoon Kyung Lee, Seoyeon Bae +5

Building a natural language dataset requires caution since word semantics is vulnerable to subtle text change or the definition of the annotated concept. Such a tendency can be see…

cs.CL2021

Kosp2e: Korean Speech to English Translation Corpus

Won Ik Cho, Seok Min Kim, Hyunchang Cho +1

Most speech-to-text (S2T) translation studies use English speech as a source, which makes it difficult for non-English speakers to take advantage of the S2T technologies. For some…

cs.CL2021★ 77 cited

KLUE: Korean Language Understanding Evaluation

Sungjoon Park, Jihyung Moon, Sungdong Kim +28

We introduce Korean Language Understanding Evaluation (KLUE) benchmark. KLUE is a collection of 8 Korean natural language understanding (NLU) tasks, including Topic Classification,…

cs.CL2021★ 3 cited

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

Won Ik Cho, Sangwhan Moon, Jong In Kim +2

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 mann…

cs.CL2020★ 9 cited

Open Korean Corpora: A Practical Report

Won Ik Cho, Sangwhan Moon, Youngsook Song

Korean is often referred to as a low-resource language in the research community. While this claim is partially true, it is also because the availability of resources is inadequate…

eess.AS2020★ 25 cited

TutorNet: Towards Flexible Knowledge Distillation for End-to-End Speech Recognition

Ji Won Yoon, Hyeonseung Lee, Hyung Yong Kim +2

In recent years, there has been a great deal of research in developing end-to-end speech recognition models, which enable simplifying the traditional pipeline and achieving promisi…