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Improving short text classification through global augmentation methods

arXiv 1907.03752 ↗First posted 7 Jul 2019cs.CL cs.IR cs.LGcited by 33

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Abstract (arXiv)

We study the effect of different approaches to text augmentation. To do this we use 3 datasets that include social media and formal text in the form of news articles. Our goal is to provide insights for practitioners and researchers on making choices for augmentation for classification use cases. We observe that Word2vec-based augmentation is a viable option when one does not have access to a formal synonym model (like WordNet-based augmentation). The use of mixup further improves performance of all text based augmentations and reduces the effects of overfitting on a tested deep learning model. Round-trip translation with a translation service proves to be harder to use due to cost and as such is less accessible for both normal and low resource use-cases.

Key facts. Cited by 33 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Jul 2019.

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Citing papers per year: 2021: 9; 2022: 3; 2023: 6; 2024: 13; 2025: 1; 2026: 1.

33 papers.

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  1. 2021A Survey on Data Augmentation for Text Classificationcited by 111
  2. 2021NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentationcited by 72
  3. 2024A Comprehensive Survey on Data Augmentationcited by 38
  4. 2023From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysiscited by 6
  5. 2021Training Cross-Lingual embeddings for Setswana and Sepedicited by 5
  6. 2022Rethinking Textual Adversarial Defense for Pre-trained Language Modelscited by 5
  7. 2022AugCSE: Contrastive Sentence Embedding with Diverse Augmentationscited by 5
  8. 2023Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Studycited by 5
  9. 2021Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understandingcited by 4
  10. 2022Human-in-the-Loop Hate Speech Classification in a Multilingual Contextcited by 3
  11. 2023Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairscited by 3
  12. 2024Iterative Mask Filling: An Effective Text Augmentation Method Using Masked Language Modelingcited by 3
21 more
  1. 2021Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading abilitycited by 2
  2. 2023Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection Taskscited by 2
  3. 2024On Evaluation Protocols for Data Augmentation in a Limited Data Scenariocited by 2
  4. 2024GenCode: A Generic Data Augmentation Framework for Boosting Deep Learning-Based Code Understandingcited by 2
  5. 2024From N-grams to Pre-trained Multilingual Models For Language Identificationcited by 2
  6. 2021Sentiment Analysis of the COVID-related r/Depression Postscited by 1
  7. 2023Textual Augmentation Techniques Applied to Low Resource Machine Translation: Case of Swahilicited by 1
  8. 2024AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimescited by 1
  9. 2024Evaluation and Improvement of Fault Detection for Large Language Modelscited by 1
  10. 2024Fine-Grained Spatial and Verbal Losses for 3D Visual Groundingcited by 1
  11. 2021Is it Fake? News Disinformation Detection on South African News Websitescited by 0
  12. 2021A Diversity-Enhanced and Constraints-Relaxed Augmentation for Low-Resource Classificationcited by 0
  13. 2021Semi-Supervised Adversarial Discriminative Domain Adaptationcited by 0
  14. 2023Augmenty: A Python Library for Structured Text Augmentationcited by 0
  15. 2024Evaluation Metrics for Text Data Augmentation in NLPcited by 0
  16. 2024Advancing NLP Models with Strategic Text Augmentation: A Comprehensive Study of Augmentation Methods and Curriculum Strategiescited by 0
  17. 2024LeCov: Multi-level Testing Criteria for Large Language Modelscited by 0
  18. 2024Parallel Corpus Augmentation using Masked Language Modelscited by 0
  19. 2024A Target-Aware Analysis of Data Augmentation for Hate Speech Detectioncited by 0
  20. 2025A Cross-Cultural Assessment of Human Ability to Detect LLM-Generated Fake News about South Africacited by 0
  21. 2026Training Language Models with homotokens Leads to Delayed Overfittingcited by 0