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EDA: Easy Data Augmentation Techniques for Boosting Performance on Text
  Classification Tasks

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

31 January 2019
Jason W. Wei
Kai Zou
ArXivPDFHTML

Papers citing "EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks"

50 / 269 papers shown
Title
GOLD: Improving Out-of-Scope Detection in Dialogues using Data
  Augmentation
GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation
Derek Chen
Zhou Yu
27
31
0
07 Sep 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text
  Classification
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification
Shuhuai Ren
Jinchao Zhang
Lei Li
Xu Sun
Jie Zhou
38
31
0
01 Sep 2021
MELM: Data Augmentation with Masked Entity Language Modeling for
  Low-Resource NER
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
34
95
0
31 Aug 2021
AEDA: An Easier Data Augmentation Technique for Text Classification
AEDA: An Easier Data Augmentation Technique for Text Classification
Akbar Karimi
L. Rossi
Andrea Prati
32
151
0
30 Aug 2021
Self-training Improves Pre-training for Few-shot Learning in
  Task-oriented Dialog Systems
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems
Fei Mi
Wanhao Zhou
Feng Cai
Lingjing Kong
Minlie Huang
Boi Faltings
27
32
0
28 Aug 2021
Data Augmentation for Low-Resource Named Entity Recognition Using
  Backtranslation
Data Augmentation for Low-Resource Named Entity Recognition Using Backtranslation
Usama Yaseen
Stefan Langer
MedIm
21
15
0
26 Aug 2021
Back-Translated Task Adaptive Pretraining: Improving Accuracy and
  Robustness on Text Classification
Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification
Junghoon Lee
Jounghee Kim
Pilsung Kang
VLM
13
5
0
22 Jul 2021
Accenture at CheckThat! 2021: Interesting claim identification and
  ranking with contextually sensitive lexical training data augmentation
Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentation
Evan Williams
Paul Rodrigues
Sieu Tran
139
19
0
12 Jul 2021
A Survey on Data Augmentation for Text Classification
A Survey on Data Augmentation for Text Classification
Markus Bayer
M. Kaufhold
Christian A. Reuter
36
334
0
07 Jul 2021
An Investigation of the (In)effectiveness of Counterfactually Augmented
  Data
An Investigation of the (In)effectiveness of Counterfactually Augmented Data
Nitish Joshi
He He
OODD
19
46
0
01 Jul 2021
Automatically Select Emotion for Response via Personality-affected
  Emotion Transition
Automatically Select Emotion for Response via Personality-affected Emotion Transition
Zhiyuan Wen
Jiannong Cao
Ruosong Yang
Shuaiqi Liu
Jiaxing Shen
26
25
0
30 Jun 2021
On Adversarial Robustness of Synthetic Code Generation
On Adversarial Robustness of Synthetic Code Generation
Mrinal Anand
Pratik Kayal
M. Singh
32
3
0
22 Jun 2021
SSMix: Saliency-Based Span Mixup for Text Classification
SSMix: Saliency-Based Span Mixup for Text Classification
Soyoung Yoon
Gyuwan Kim
Kyumin Park
22
68
0
15 Jun 2021
Vision-Language Navigation with Random Environmental Mixup
Vision-Language Navigation with Random Environmental Mixup
Chong Liu
Fengda Zhu
Xiaojun Chang
Xiaodan Liang
Zongyuan Ge
Yi-Dong Shen
LM&Ro
56
86
0
15 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in
  NLP
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Jiaao Chen
Derek Tam
Colin Raffel
Joey Tianyi Zhou
Diyi Yang
28
172
0
14 Jun 2021
Generate, Annotate, and Learn: NLP with Synthetic Text
Generate, Annotate, and Learn: NLP with Synthetic Text
Xuanli He
Islam Nassar
J. Kiros
Gholamreza Haffari
Mohammad Norouzi
39
51
0
11 Jun 2021
Counterfactual Invariance to Spurious Correlations: Why and How to Pass
  Stress Tests
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests
Victor Veitch
Alexander DÁmour
Steve Yadlowsky
Jacob Eisenstein
OOD
24
91
0
31 May 2021
Contrastive Fine-tuning Improves Robustness for Neural Rankers
Contrastive Fine-tuning Improves Robustness for Neural Rankers
Xiaofei Ma
Cicero Nogueira dos Santos
Andrew O. Arnold
18
20
0
27 May 2021
Data Expansion using Back Translation and Paraphrasing for Hate Speech
  Detection
Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection
D. Beddiar
Md Saroar Jahan
Mourad Oussalah
27
82
0
25 May 2021
Out-of-Manifold Regularization in Contextual Embedding Space for Text
  Classification
Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification
Seonghyeon Lee
Dongha Lee
Hwanjo Yu
24
4
0
14 May 2021
Understanding by Understanding Not: Modeling Negation in Language Models
Understanding by Understanding Not: Modeling Negation in Language Models
Arian Hosseini
Siva Reddy
Dzmitry Bahdanau
R. Devon Hjelm
Alessandro Sordoni
Rameswar Panda
22
87
0
07 May 2021
A Survey of Data Augmentation Approaches for NLP
A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
39
799
0
07 May 2021
Improving BERT Model Using Contrastive Learning for Biomedical Relation
  Extraction
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
P. Su
Yifan Peng
K. Vijay-Shanker
SSL
34
35
0
28 Apr 2021
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
Kang Min Yoo
Dongju Park
Jaewook Kang
Sang-Woo Lee
Woomyeong Park
36
235
0
18 Apr 2021
Crossing the Conversational Chasm: A Primer on Natural Language
  Processing for Multilingual Task-Oriented Dialogue Systems
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems
E. Razumovskaia
Goran Glavavs
Olga Majewska
E. Ponti
Anna Korhonen
Ivan Vulić
26
32
0
17 Apr 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language
  Models
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models
Katikapalli Subramanyam Kalyan
A. Rajasekharan
S. Sangeetha
LM&MA
MedIm
26
164
0
16 Apr 2021
Data Augmentation for Voice-Assistant NLU using BERT-based
  Interchangeable Rephrase
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase
Akhila Yerukola
Mason Bretan
Hongxia Jin
30
3
0
16 Apr 2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without
  Extra Cost
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
Zhen Wu
Lijun Wu
Qi Meng
Yingce Xia
Shufang Xie
Tao Qin
Xinyu Dai
Tie-Yan Liu
18
22
0
11 Apr 2021
Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment
  Analysis
Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment Analysis
Tomas Liesting
Flavius Frasincar
Maria Mihaela Truşcǎ
13
30
0
29 Mar 2021
Data Augmentation in Natural Language Processing: A Novel Text
  Generation Approach for Long and Short Text Classifiers
Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers
Markus Bayer
M. Kaufhold
Björn Buchhold
Marcel Keller
J. Dallmeyer
Christian A. Reuter
28
113
0
26 Mar 2021
An Approach to Improve Robustness of NLP Systems against ASR Errors
An Approach to Improve Robustness of NLP Systems against ASR Errors
Tong Cui
Jinghui Xiao
Liangyou Li
Xin Jiang
Qun Liu
27
11
0
25 Mar 2021
Hallucination of speech recognition errors with sequence to sequence
  learning
Hallucination of speech recognition errors with sequence to sequence learning
Prashant Serai
Vishal Sunder
Eric Fosler-Lussier
21
17
0
23 Mar 2021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
Mingyang Yi
Lu Hou
Lifeng Shang
Xin Jiang
Qun Liu
Zhi-Ming Ma
12
19
0
16 Mar 2021
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation
Lingyun Feng
Minghui Qiu
Yaliang Li
Haitao Zheng
Ying Shen
46
10
0
20 Jan 2021
Deep Evolutionary Learning for Molecular Design
Deep Evolutionary Learning for Molecular Design
Yifeng Li
H. K. Ooi
A. Tchagang
27
14
0
28 Dec 2020
Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant
  Systems
Pattern-aware Data Augmentation for Query Rewriting in Voice Assistant Systems
Yunmo Chen
Sixing Lu
Fan Yang
Xiaojiang Huang
Xing Fan
Chenlei Guo
22
3
0
21 Dec 2020
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks
  using Data Augmentation
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation
Han Qiu
Yi Zeng
Shangwei Guo
Tianwei Zhang
Meikang Qiu
B. Thuraisingham
AAML
24
191
0
13 Dec 2020
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided
  Conditional Generation
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation
Ruibo Liu
Guangxuan Xu
Chenyan Jia
Weicheng Ma
Lili Wang
Soroush Vosoughi
23
107
0
05 Dec 2020
Target Word Masking for Location Metonymy Resolution
Target Word Masking for Location Metonymy Resolution
Haonan Li
Maria Vasardani
Martin Tomko
Timothy Baldwin
16
11
0
30 Oct 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by
  Transferring Natural Language Inference
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
Jianguo Zhang
Kazuma Hashimoto
Wenhao Liu
Chien-Sheng Wu
Yao Wan
Philip S. Yu
R. Socher
Caiming Xiong
14
92
0
25 Oct 2020
An Analysis of Simple Data Augmentation for Named Entity Recognition
An Analysis of Simple Data Augmentation for Named Entity Recognition
Xiang Dai
Heike Adel
35
194
0
22 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs
Robust Optimization as Data Augmentation for Large-scale Graphs
Kezhi Kong
Ge Li
Mucong Ding
Zuxuan Wu
Chen Zhu
Guohao Li
Gavin Taylor
Tom Goldstein
106
74
0
19 Oct 2020
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for
  Pairwise Sentence Scoring Tasks
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks
Nandan Thakur
Nils Reimers
Johannes Daxenberger
Iryna Gurevych
208
241
0
16 Oct 2020
PHICON: Improving Generalization of Clinical Text De-identification
  Models via Data Augmentation
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation
Xiang Yue
Shuang Zhou
15
10
0
11 Oct 2020
A Series of Unfortunate Counterfactual Events: the Role of Time in
  Counterfactual Explanations
A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations
Andrea Ferrario
M. Loi
25
5
0
09 Oct 2020
GenAug: Data Augmentation for Finetuning Text Generators
GenAug: Data Augmentation for Finetuning Text Generators
Steven Y. Feng
Varun Gangal
Dongyeop Kang
Teruko Mitamura
Eduard H. Hovy
16
73
0
05 Oct 2020
How Effective is Task-Agnostic Data Augmentation for Pretrained
  Transformers?
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?
Shayne Longpre
Yu Wang
Christopher DuBois
ViT
19
83
0
05 Oct 2020
Reverse Operation based Data Augmentation for Solving Math Word Problems
Reverse Operation based Data Augmentation for Solving Math Word Problems
Qianying Liu
Wenyu Guan
Sujian Li
Fei Cheng
Daisuke Kawahara
Sadao Kurohashi
12
28
0
04 Oct 2020
Tell Me How to Ask Again: Question Data Augmentation with Controllable
  Rewriting in Continuous Space
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
Dayiheng Liu
Yeyun Gong
Jie Fu
Yu Yan
Jiusheng Chen
Jiancheng Lv
Nan Duan
M. Zhou
15
37
0
04 Oct 2020
Empirical Study of Text Augmentation on Social Media Text in Vietnamese
Empirical Study of Text Augmentation on Social Media Text in Vietnamese
Son T. Luu
Kiet Van Nguyen
Ngan Luu-Thuy Nguyen
15
10
0
25 Sep 2020
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