4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CL2024
READ: Improving Relation Extraction from an ADversarial Perspective
Dawei Li, William Hogan, Jingbo Shang
Recent works in relation extraction (RE) have achieved promising benchmark accuracy; however, our adversarial attack experiments show that these works excessively rely on entities,…
cs.CL2023★ 1 cited
DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase
Dawei Li, Yaxuan Li, Dheeraj Mekala +5
In-Context Learning (ICL) combined with pre-trained large language models has achieved promising results on various NLP tasks. However, ICL requires high-quality annotated demonstr…
cs.CL2022★ 4 cited
An Overview of Distant Supervision for Relation Extraction with a Focus on Denoising and Pre-training Methods
William Hogan
Relation Extraction (RE) is a foundational task of natural language processing. RE seeks to transform raw, unstructured text into structured knowledge by identifying relational inf…