56 citations · 94 across the 16 of their papers we have counts for
Showing 2023Show all
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cs.CL2023★ 2 cited
Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction
Jun Gao, Huan Zhao, Yice Zhang +3
Information Extraction (IE) is an essential task in Natural Language Processing. Traditional methods have relied on coarse-grained extraction with simple instructions. However, wit…
cs.CL2023★ 56 cited
Exploring the Feasibility of ChatGPT for Event Extraction
Jun Gao, Huan Zhao, Changlong Yu +1
Event extraction is a fundamental task in natural language processing that involves identifying and extracting information about events mentioned in text. However, it is a challeng…
cs.CL2023★ 2 cited
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction
Jun Gao, Changlong Yu, Wei Wang +2
We present Mask-then-Fill, a flexible and effective data augmentation framework for event extraction. Our approach allows for more flexible manipulation of text and thus can genera…