mlsanityData to 14 Oct 2026

Data Augmentation for Low-Resource Named Entity Recognition Using Backtranslation

arXiv 2108.11703 ↗First posted 26 Aug 2021cs.CLcited by 10

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Abstract (arXiv)

The state of art natural language processing systems relies on sizable training datasets to achieve high performance. Lack of such datasets in the specialized low resource domains lead to suboptimal performance. In this work, we adapt backtranslation to generate high quality and linguistically diverse synthetic data for low-resource named entity recognition. We perform experiments on two datasets from the materials science (MaSciP) and biomedical domains (S800). The empirical results demonstrate the effectiveness of our proposed augmentation strategy, particularly in the low-resource scenario.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 26 of its 49 references that are in the map. First posted on arXiv 26 Aug 2021.

Builds on

26 of 49 references.

References · 26

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14 more
  1. 2018Adversarial Example Generation with Syntactically Controlled Paraphrase Networkscited by 286
  2. 2019Facebook FAIR's WMT19 News Translation Task Submissioncited by 179
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Cited by year

Citing papers per year: 2021: 1; 2022: 3; 2023: 3; 2024: 0; 2025: 3.

10 papers.

  1. 2021NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentationcited by 73
  2. 2022Intriguing Properties of Compression on Multilingual Modelscited by 15
  3. 2023Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extractioncited by 12
  4. 2022TAPE: Assessing Few-shot Russian Language Understandingcited by 11
  5. 2022Named Entity Recognition in Industrial Tables using Tabular Language Modelscited by 3
  6. 2023CebuaNER: A New Baseline Cebuano Named Entity Recognition Modelcited by 2
  7. 2023Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?cited by 2
  8. 2025Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanationscited by 0
  9. 2025Adversarial Demonstration Learning for Low-resource NER Using Dual Similaritycited by 0
  10. 2025PANER: A Paraphrase-Augmented Framework for Low-Resource Named Entity Recognitioncited by 0