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1911.03118
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Not Enough Data? Deep Learning to the Rescue!
AAAI Conference on Artificial Intelligence (AAAI), 2019
8 November 2019
Ateret Anaby-Tavor
Boaz Carmeli
Esther Goldbraich
Amir Kantor
George Kour
Segev Shlomov
N. Tepper
Naama Zwerdling
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Papers citing
"Not Enough Data? Deep Learning to the Rescue!"
50 / 169 papers shown
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Exploring Format Consistency for Instruction Tuning
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267
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28 Jul 2023
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition
AAAI Conference on Artificial Intelligence (AAAI), 2023
Sihan Song
Jian Zhao
Jian Zhao
193
6
0
11 Jul 2023
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Komal K. Teru
262
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0
16 Jun 2023
Investigating Masking-based Data Generation in Language Models
Edward Ma
274
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16 Jun 2023
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Qinhong Zhou
Zonghan Yang
Peng Li
Yang Liu
240
3
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15 Jun 2023
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation
SDM (SDM), 2023
Xiusi Chen
Yu Zhang
Jinliang Deng
Jyun-Yu Jiang
Wei Wang
192
14
0
07 Jun 2023
AfriNames: Most ASR models "butcher" African Names
Tobi Olatunji
Tejumade Afonja
Bonaventure F. P. Dossou
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Chris C. Emezue
Amina Mardiyyah Rufai
Sahib Singh
161
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01 Jun 2023
MSMix:An Interpolation-Based Text Data Augmentation Method Manifold Swap Mixup
Social Science Research Network (SSRN), 2023
Mao Ye
Haitao Wang
Zheqian Chen
190
2
0
31 May 2023
Targeted Data Generation: Finding and Fixing Model Weaknesses
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Zexue He
Marco Tulio Ribeiro
Fereshte Khani
179
20
0
28 May 2023
Reliable and Interpretable Drift Detection in Streams of Short Texts
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Ella Rabinovich
Matan Vetzler
Samuel Ackerman
Ateret Anaby-Tavor
AI4TS
161
4
0
28 May 2023
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Xuming Hu
Aiwei Liu
Zeqi Tan
Xin Zhang
Chenwei Zhang
Irwin King
Philip S. Yu
324
21
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26 May 2023
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science
V. Veselovsky
Manoel Horta Ribeiro
Akhil Arora
Martin Josifoski
Ashton Anderson
Robert West
SyDa
HILM
237
44
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24 May 2023
Boosting Event Extraction with Denoised Structure-to-Text Augmentation
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Bo Wang
Heyan Huang
Xiaochi Wei
Ge Shi
Xiao Liu
Chong Feng
Tong Zhou
Shuai Wang
D. Yin
181
9
0
16 May 2023
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime
AAAI Conference on Artificial Intelligence (AAAI), 2023
Jiasi Chen
Richong Zhang
Zheyan Luo
Chunming Hu
Yongyi Mao
207
4
0
16 May 2023
NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset
International Workshop on Semantic Evaluation (SemEval), 2023
Sana Al-Azzawi
Gyorgy Kovács
Filip Nilsson
Tosin Adewumi
Marcus Liwicki
86
10
0
25 Apr 2023
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning
Bohan Li
Longxu Dou
Yutai Hou
Yunlong Feng
Honglin Mu
Qingfu Zhu
Qinghua Sun
Wanxiang Che
VLM
189
5
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19 Apr 2023
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation
Expert systems with applications (ESWA), 2023
A. Khan
Omkar Chaudhari
Rohitash Chandra
571
365
0
06 Apr 2023
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Namrata Shivagunde
Vladislav Lialin
Anna Rumshisky
354
4
0
29 Mar 2023
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Martin Josifoski
Marija Sakota
Maxime Peyrard
Robert West
SyDa
309
110
0
07 Mar 2023
Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data
Workshop on Representation Learning for NLP (RepL4NLP), 2023
Stephen Obadinma
Ziqiao Wang
Xiao-Dan Zhu
237
2
0
05 Mar 2023
Mixture of Soft Prompts for Controllable Data Generation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Derek Chen
Celine Lee
Yunan Lu
Domenic Rosati
Zhou Yu
353
30
0
02 Mar 2023
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jon Saad-Falcon
Omar Khattab
Keshav Santhanam
Radu Florian
M. Franz
Salim Roukos
Avirup Sil
Md Arafat Sultan
Christopher Potts
371
57
0
01 Mar 2023
STA: Self-controlled Text Augmentation for Improving Text Classifications
Congcong Wang
Gonzalo Fiz Pontiveros
Steven Derby
Tri Kurniawan Wijaya
214
4
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24 Feb 2023
What happens before and after: Multi-Event Commonsense in Event Coreference Resolution
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Sahithya Ravi
Christy Tanner
R. Ng
Vered Shwarz
168
20
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20 Feb 2023
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Yen-Ting Lin
Alexandros Papangelis
Seokhwan Kim
Sungjin Lee
Devamanyu Hazarika
Mahdi Namazifar
Di Jin
Yang Liu
Dilek Z. Hakkani-Tür
162
41
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10 Feb 2023
Data Augmentation for Modeling Human Personality: The Dexter Machine
Yair Neuman
Vladyslav Kozhukhov
Dan Vilenchik
SyDa
184
4
0
20 Jan 2023
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jun Gao
Changlong Yu
Wei Wang
Huan Zhao
Ruifeng Xu
175
37
0
06 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
ACM Computing Surveys (ACM CSUR), 2022
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
313
51
0
21 Dec 2022
On-the-fly Denoising for Data Augmentation in Natural Language Understanding
Findings (Findings), 2022
Tianqing Fang
Wenxuan Zhou
Fangyu Liu
Hongming Zhang
Yangqiu Song
Muhao Chen
310
1
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20 Dec 2022
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Or Honovich
Thomas Scialom
Omer Levy
Timo Schick
ALM
444
437
0
19 Dec 2022
Discovering Language Model Behaviors with Model-Written Evaluations
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Ethan Perez
Sam Ringer
Kamilė Lukošiūtė
Karina Nguyen
Edwin Chen
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Danny Hernandez
Deep Ganguli
Evan Hubinger
Nicholas Schiefer
Jared Kaplan
ALM
359
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0
19 Dec 2022
Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration
Sergey Zeltyn
Segev Shlomov
Avi Yaeli
Alon Oved
139
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13 Dec 2022
A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Ruiqing Ding
Xiao Han
Leye Wang
305
3
0
10 Dec 2022
Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text Corpora
IEEE Games Entertainment Media Conference (GEM), 2022
George Kour
Samuel Ackerman
Orna Raz
E. Farchi
Boaz Carmeli
Ateret Anaby-Tavor
190
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0
29 Nov 2022
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Albert Xu
Xiang Ren
Robin Jia
OODD
157
2
0
28 Nov 2022
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation
Biyang Guo
Yeyun Gong
Yelong Shen
Songqiao Han
Hailiang Huang
Nan Duan
Weizhu Chen
VLM
189
23
0
18 Nov 2022
The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck
Communications of the ACM (CACM), 2022
Chen Shani
Jonathan Zarecki
Dafna Shahaf
149
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15 Nov 2022
Textual Data Augmentation for Patient Outcomes Prediction
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
Qiuhao Lu
Dejing Dou
Thien Huu Nguyen
145
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13 Nov 2022
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
International Conference on Machine Learning (ICML), 2022
Yu Meng
Martin Michalski
Jiaxin Huang
Yu Zhang
Tarek Abdelzaher
Jiawei Han
VLM
228
57
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06 Nov 2022
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Mobashir Sadat
Cornelia Caragea
134
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05 Nov 2022
Differentially Private Language Models for Secure Data Sharing
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Justus Mattern
Zhijing Jin
Benjamin Weggenmann
Bernhard Schoelkopf
Mrinmaya Sachan
SyDa
307
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25 Oct 2022
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jiacheng Ye
Jiahui Gao
Jiangtao Feng
Zhiyong Wu
Tao Yu
Lingpeng Kong
SyDa
VLM
249
88
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22 Oct 2022
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Xuming Hu
Yong Jiang
Aiwei Liu
Zhongqiang Huang
Pengjun Xie
Fei Huang
Lijie Wen
Philip S. Yu
217
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19 Oct 2022
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation
International Workshop on Semantic Evaluation (SemEval), 2022
I. Sarhan
P. Mosteiro
Marco Spruit
146
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07 Oct 2022
Selective Text Augmentation with Word Roles for Low-Resource Text Classification
Biyang Guo
Songqiao Han
Hailiang Huang
179
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Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLP
Johann Frei
Frank Kramer
136
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30 Aug 2022
A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception
Keenan I. Jones
Enes ALTUNCU
V. N. Franqueira
Yi-Chia Wang
Shujun Li
DeLMO
200
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A Holistic Approach to Undesired Content Detection in the Real World
AAAI Conference on Artificial Intelligence (AAAI), 2022
Todor Markov
Chong Zhang
Sandhini Agarwal
Tyna Eloundou
Teddy Lee
Steven Adler
Angela Jiang
L. Weng
259
341
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05 Aug 2022
Multi-Level Fine-Tuning, Data Augmentation, and Few-Shot Learning for Specialized Cyber Threat Intelligence
Computers & security (Comput. Secur.), 2022
Markus Bayer
Tobias Frey
Christian A. Reuter
AAML
166
22
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22 Jul 2022
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