ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER

1 June 2023

Papers citing "ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER"

7 / 7 papers shown

Title
WHERE and WHICH: Iterative Debate for Biomedical Synthetic Data Augmentation Zhengyi Zhao Shubo Zhang Bin Liang Binyang Li Kam-Fai Wong SyDa 43 0 0 31 Mar 2025
Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation Yuji Naraki Ryosuke Yamaki Yoshikazu Ikeda Takafumi Horie Kotaro Yoshida Ryotaro Shimizu Hiroki Naganuma 47 2 0 03 Jan 2025
Composited-Nested-Learning with Data Augmentation for Nested Named Entity Recognition Xingming Liao Nankai Lin Haowen Li Lianglun Cheng Zhuowei Wang Chong Chen 30 0 0 18 Jun 2024
ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions Sreyan Ghosh Utkarsh Tyagi Sonal Kumar C. K. Evuru S Ramaneswaran S. Sakshi Dinesh Manocha 33 5 0 06 Jun 2024
CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP Chandra Kiran Reddy Evuru Sreyan Ghosh Sonal Kumar S. Ramaneswaran Utkarsh Tyagi Dinesh Manocha 34 8 0 30 Mar 2024
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction Qingyun Wang Zixuan Zhang Hongxiang Li Xuan Liu Jiawei Han Huimin Zhao Heng Ji 32 1 0 18 Jan 2024
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 209 315 0 04 Mar 2020