RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named
Entity Recognition

v1v2 (latest)

RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition

11 July 2023

Jian Zhao

ArXiv (abs)PDF HTML

Papers citing "RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition"

18 / 18 papers shown

Title
Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition Shuguang Chen Leonardo Neves Thamar Solorio 93 4 0 14 Oct 2022
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models Bill Yuchen Lin Wenyang Gao Jun Yan Ryan Rene Moreno Xiang Ren AAML 79 42 0 12 Sep 2021
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER Ran Zhou Xin Li Ruidan He Lidong Bing Min Zhang Luo Si Steven C. H. Hoi 73 99 0 31 Aug 2021
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning Jing Zhou Yanan Zheng Jie Tang Jian Li Zhilin Yang VLM 65 78 0 13 Aug 2021
GPT Understands, Too Xiao Liu Yanan Zheng Zhengxiao Du Ming Ding Yujie Qian Zhilin Yang Jie Tang VLM 168 1,179 0 18 Mar 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 250 4,299 0 01 Jan 2021
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning Chenglei Si Zhengyan Zhang Fanchao Qi Zhiyuan Liu Yasheng Wang Qun Liu Maosong Sun AAML SILM 83 69 0 31 Dec 2020
An Analysis of Simple Data Augmentation for Named Entity Recognition Xiang Dai Heike Adel 100 198 0 22 Oct 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 223 117 0 05 Mar 2020
Adversarial Examples Improve Image Recognition Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le AAML 129 566 0 21 Nov 2019
Not Enough Data? Deep Learning to the Rescue! Ateret Anaby-Tavor Boaz Carmeli Esther Goldbraich Amir Kantor George Kour Segev Shlomov N. Tepper Naama Zwerdling 84 370 0 08 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 477 20,317 0 23 Oct 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks Jason W. Wei Kai Zou 119 1,962 0 31 Jan 2019
Generalizing to Unseen Domains via Adversarial Data Augmentation Riccardo Volpi Hongseok Namkoong Ozan Sener John C. Duchi Vittorio Murino Silvio Savarese OOD 122 786 0 30 May 2018
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations Sosuke Kobayashi 84 615 0 16 May 2018
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost Noam M. Shazeer Mitchell Stern ODL 84 1,051 0 11 Apr 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 289 9,803 0 25 Oct 2017
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.