Data augmentation for low resource sentiment analysis using generative adversarial networks

18 February 2019

Papers citing "Data augmentation for low resource sentiment analysis using generative adversarial networks"

8 / 8 papers shown

Title
I-WAS: a Data Augmentation Method with GPT-2 for Simile Detection Yongzhu Chang Rongsheng Zhang Jiashu Pu 30 1 0 08 Aug 2023
Transfer Learning for Low-Resource Sentiment Analysis Razhan Hameed Sina Ahmadi Fatemeh Daneshfar 22 5 0 10 Apr 2023
Modeling the Graphotactics of Low-Resource Languages Using Sequential GANs Isaac Wasserman GAN 8 1 0 26 Oct 2022
Kamino: Constraint-Aware Differentially Private Data Synthesis Chang Ge Shubhankar Mohapatra Xi He Ihab F. Ilyas SyDa 15 44 0 31 Dec 2020
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation Kun Li Chengbo Chen Xiaojun Quan Qing Ling Yan Song 17 59 0 30 Apr 2020
Bias Remediation in Driver Drowsiness Detection systems using Generative Adversarial Networks Mkhuseli Ngxande J. Tapamo Michael G. Burke 17 39 0 10 Dec 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification Varun Kumar Hadrien Glaude Cyprien de Lichy William Campbell 11 83 0 09 Oct 2019
Semi-supervised and Transfer learning approaches for low resource sentiment classification Rahul Gupta Saurabh Sahu C. Espy-Wilson Shrikanth Narayanan 33 29 0 07 Jun 2018