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Machine Learning
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Application Areas
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Data Augmentation
3,622 papers
Papers per year
2002: 2
2006: 1
2008: 2
2009: 1
2011: 3
2012: 3
2013: 9
2014: 8
2015: 7
2016: 35
2017: 45
2018: 108
2019: 239
2020: 329
2021: 477
2022: 518
2023: 607
2024: 561
2025: 546
2026: 121
Papers
Controlled Language Generation for Language Learning Items
EMNLP 2022
Named Entity Recognition in Industrial Tables using Tabular Language Models
EMNLP 2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
EMNLP 2022
It’s Better to Teach Fishing than Giving a Fish: An Auto-Augmented Structure-aware Generative Model for Metaphor Detection
EMNLP 2022
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation
EMNLP 2022
HARALD: Augmenting Hate Speech Data Sets with Real Data
EMNLP 2022
AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning
EMNLP 2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
EMNLP 2022
Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources
EMNLP 2022
A Unified Dialogue User Simulator for Few-shot Data Augmentation
EMNLP 2022
TINA: Textual Inference with Negation Augmentation
EMNLP 2022
Controllable Dialogue Simulation with In-context Learning
EMNLP 2022
Lexical Generalization Improves with Larger Models and Longer Training
EMNLP 2022
Realistic Data Augmentation Framework for Enhancing Tabular Reasoning
EMNLP 2022
Leveraging Data Recasting to Enhance Tabular Reasoning
EMNLP 2022
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction
EMNLP 2022
Dynamic Augmentation Data Selection for Few-shot Text Classification
EMNLP 2022
KPDROP: Improving Absent Keyphrase Generation
EMNLP 2022
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation
EMNLP 2022
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation
EMNLP 2022
Data Cartography for Low-Resource Neural Machine Translation
EMNLP 2022
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play
EMNLP 2022
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training
EMNLP 2022
ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms
EMNLP 2022
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction
EMNLP 2022
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