Papers by Yangsok Kim

GenGO

Omakase Read Later

Search

Papers by Yangsok Kim

COLING

2022.coling-1

English
BERT
sub-character tokenizer
Online hate speech detection
hate speech detection
multi-label classification

2022

Responsible & Trustworthy NLP

1 papers

K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment (2022.coling-1)

Copied to clipboard

Jean Lee, Taejun Lim, Heejun Lee, Bogeun Jo, Yangsok Kim, Heegeun Yoon, Soyeon Caren Han

Responsible & Trustworthy NLP

Challenge:	Online hate speech detection resources in other languages are limited.
Approach:	They introduce a new dataset for hate speech detection that handles Korean language patterns.
Outcome:	The proposed dataset outperforms existing datasets in Korean language classifications.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations