Elizabeth Grace Orwig — accepted AI-conference papers

2025

Mondrian: A Framework for Logical Abstract (Re)Structuring

Elizabeth Grace Orwig, Shinwoo Park, Hyundong Jin, Yo-Sub Han

EMNLP 2025

The well-known rhetorical framework, ABT (And, But, Therefore), mirrors natural human cognition in structuring an argument’s logical progression - apropos to academic communication. However, distilling the complexities of research into clear and concise prose requires careful sequencing of ideas and

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2023

GDA: Grammar-based Data Augmentation for Text Classification using Slot Information

Joonghyuk Hahn, Hyunjoon Cheon, Elizabeth Grace Orwig, Su-Hyeon Kim, Sang-Ki Ko, Yo-Sub Han

EMNLP 2023long findings

Recent studies propose various data augmentation approaches to resolve the low-resource problem in natural language processing tasks. Data augmentation is a successful solution to this problem and recent strategies give variation on sentence structures to boost performance. However, these approaches…

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