AEDA: An Easier Data Augmentation Technique for Text Classification

30 August 2021

Papers citing "AEDA: An Easier Data Augmentation Technique for Text Classification"

8 / 58 papers shown

Title
Embedding Hallucination for Few-Shot Language Fine-tuning Yiren Jian Chongyang Gao Soroush Vosoughi 23 4 0 03 May 2022
Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting Linzhi Wu Pengjun Xie Jie Zhou Meishan Zhang Chunping Ma Guangwei Xu Min Zhang 27 21 0 25 Apr 2022
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification Minyi Zhao Lu Zhang Yi Xu Jiandong Ding Jihong Guan Shuigeng Zhou VLM 36 10 0 24 Apr 2022
HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection Zheng Chu Ziqing Yang Yiming Cui Zhigang Chen Ming Liu 21 4 0 13 Apr 2022
Prompt-based System for Personality and Interpersonal Reactivity Prediction Bin Li Yixuan Weng 14 7 0 23 Mar 2022
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 214 315 0 04 Mar 2020
Adversarial Training for Aspect-Based Sentiment Analysis with BERT Akbar Karimi L. Rossi Andrea Prati 215 99 0 30 Jan 2020
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014