A Survey on Data Augmentation for Text Classification

7 July 2021

Papers citing "A Survey on Data Augmentation for Text Classification"

28 / 28 papers shown

Title
A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction Amuche Ibenegbu Amandine Schaeffer Pierre Lafaye de Micheaux Rohitash Chandra 33 0 0 20 Jan 2025
VicSim: Enhancing Victim Simulation with Emotional and Linguistic Fidelity Yerong Li Yiren Liu Yun Huang 39 0 0 06 Jan 2025
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification Guanyi Mou Yichuan Li Kyumin Lee 23 3 0 26 Sep 2024
Exploration of Masked and Causal Language Modelling for Text Generation Nicolo Micheletti Samuel Belkadi Lifeng Han Goran Nenadic 27 6 0 21 May 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 92 19 0 15 May 2024
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes Juhwan Choi Kyohoon Jin Junho Lee Sangmin Song Youngbin Kim 11 1 0 08 Feb 2024
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study T. H. Le Xiaoning Du Muhammad Ali Babar 23 7 0 20 Jan 2024
Large Language Models for Conducting Advanced Text Analytics Information Systems Research Benjamin Ampel Chi-Heng Yang J. Hu Hsinchun Chen 21 7 0 27 Dec 2023
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 31 2 0 27 Dec 2023
LowResource at BLP-2023 Task 2: Leveraging BanglaBert for Low Resource Sentiment Analysis of Bangla Language Aunabil Chakma Masum Hasan 29 3 0 21 Nov 2023
Using Weak Supervision and Data Augmentation in Question Answering Chumki Basu Binyuan Hui Allen McIntosh Wei Wang J. Wullert OOD 33 0 0 28 Sep 2023
Towards Generalising Neural Topical Representations Xiaohao Yang He Zhao Dinh Q. Phung Lan Du BDL OOD MedIm 14 1 0 24 Jul 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Y. Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 20 2 0 23 May 2023
RISC: Generating Realistic Synthetic Bilingual Insurance Contract David Beauchemin Richard Khoury AILaw SyDa 17 1 0 09 Apr 2023
Simple Disentanglement of Style and Content in Visual Representations Lilian Ngweta Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin CoGe DRL 19 6 0 20 Feb 2023
Multi-Level Fine-Tuning, Data Augmentation, and Few-Shot Learning for Specialized Cyber Threat Intelligence Markus Bayer Tobias Frey Christian A. Reuter AAML 16 15 0 22 Jul 2022
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation Kaustubh D. Dhole Varun Gangal Sebastian Gehrmann Aadesh Gupta Zhenhao Li ... Tianbao Xie Usama Yaseen Michael A. Yee Jing Zhang Yue Zhang 159 86 0 06 Dec 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 193 103 0 15 Jul 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Sebastian Gehrmann Tosin P. Adewumi Karmanya Aggarwal Pawan Sasanka Ammanamanchi Aremu Anuoluwapo ... Nishant Subramani Wei-ping Xu Diyi Yang Akhila Yerukola Jiawei Zhou VLM 238 284 0 02 Feb 2021
Substructure Substitution: Structured Data Augmentation for NLP Freda Shi Karen Livescu Kevin Gimpel 180 41 0 02 Jan 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 267 1,798 0 14 Dec 2020
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding Yanru Qu Dinghan Shen Yelong Shen Sandra Sajeev Jiawei Han Weizhu Chen 123 65 0 16 Oct 2020
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 209 315 0 04 Mar 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 211 430 0 25 Sep 2019
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 173 350 0 12 Jun 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 233 909 0 21 Apr 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 190 1,358 0 06 Jun 2016