Papers by O-Joun Lee

1 papers
“Why do I feel offended?” - Korean Dataset for Offensive Language Identification (2023.findings-eacl)

Copied to clipboard

Challenge: Existing methods for detecting offensive content rely on labeled datasets, but few consider low-resource languages with relatively less data available for training.
Approach: They propose to use Korean as a dataset for offensive language identification . they propose to perform abusive language detection and sentiment analysis to help identify offensive languages.
Outcome: The proposed datasets improve the performance of offensive language identification in Korean, while the existing methods are limited.

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