Papers by Se Rim Park

1 papers
HABERTOR: An Efficient and Effective Deep Hatespeech Detector (2020.emnlp-main)

Copied to clipboard

Challenge: HABERTOR model is a highly efficient and effective alternative to BERT for the hatespeech classification task.
Approach: They propose to modify BERT's HABERTOR model to generate its own vocabularies and pre-trained it using the largest scale hatespeech dataset.
Outcome: The proposed model is faster, more efficient and more robust than existing methods for hatespeech classification.

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