Papers by Soojin Jang

2 papers
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation (2021.naacl-main)

Copied to clipboard

Challenge: voluminous historical records are difficult to fully utilize since they are written in ancient languages and some parts are damaged over time.
Approach: They propose a multi-task learning approach to restore and translate historical documents using a self-attention mechanism.
Outcome: The proposed approach improves the accuracy of the translation task over baselines without multi-task learning.
CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples (2025.emnlp-main)

Copied to clipboard

Challenge: Spurious correlations are patterns that appear in datasets but do not represent genuine relationships.
Approach: They propose a more general form of counterfactual data augmentation that tackles multiple biases . they propose 'CoBA' that decomposes text into subject-predicate-object triples and modifies them to disrupt spurious correlations.
Outcome: The proposed framework reduces biases and strengthens out-of-distribution resilience.

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