GDA: Generative Data Augmentation Techniques for Relation Extraction
Tasks

GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks

26 May 2023

Aiwei Liu

Irwin King

Philip S. Yu

Papers citing "GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks"

8 / 8 papers shown

Title
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective Zeyu Gan Yong Liu SyDa 46 1 0 02 Oct 2024
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction Shiao Meng Xuming Hu Aiwei Liu Shuang Li Fukun Ma Yawen Yang Lijie Wen 35 7 0 24 Oct 2023
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability Aiwei Liu Xuming Hu Lijie Wen Philip S. Yu LMTD AI4MH 82 149 0 12 Mar 2023
On-the-fly Denoising for Data Augmentation in Natural Language Understanding Tianqing Fang Wenxuan Zhou Fangyu Liu Hongming Zhang Yangqiu Song Muhao Chen 41 1 0 20 Dec 2022
Summarization as Indirect Supervision for Relation Extraction K. Lu I-Hung Hsu Wenxuan Zhou Mingyu Derek Ma Muhao Chen 65 52 0 19 May 2022
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 130 270 0 05 Oct 2021
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction Xuming Hu Chenwei Zhang Yawen Yang Xiaohe Li Li Lin Lijie Wen Philip S. Yu 53 59 0 14 Sep 2021
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs Kuan-Hao Huang Kai-Wei Chang 166 68 0 26 Jan 2021