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Won Ik Cho

Seoul National University

14 papers hereh-index 10755 citations39 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author11
  • middle author3

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL13
  • eess.AS1
affiliations
  • Seoul National University
Homepage
same name
  • Won Ik Cho — 6 papers, h 2
  • Won Ik Cho — 2 papers, h 1
  • Won Ik Cho — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedKLUE: Korean Language Understanding Evaluation

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

collaborators
Showing 2020Show all

4 papers · 1 filter

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…

cs.CL2020

BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection

Jihyung Moon, Won Ik Cho, Junbum Lee

Toxic comments in online platforms are an unavoidable social issue under the cloak of anonymity. Hate speech detection has been actively done for languages such as English, German,…

cs.CL2020

Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation

Won Ik Cho, Donghyun Kwak, Ji Won Yoon +1

Speech is one of the most effective means of communication and is full of information that helps the transmission of utterer's thoughts. However, mainly due to the cumbersome proce…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.