---
title: "Who cites DAGA: Data Augmentation with a — 71 citing papers"
description: "71 papers of the Elamur Research library cite «DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks»…"
canonical: "https://research.elamur.ai/free/en/papers/ding-2020-daga-data-augmentation-generation-approach/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [DAGA: Data Augmentation with a Generation…](https://md.research.elamur.ai/free/en/papers/ding-2020-daga-data-augmentation-generation-approach/) / cited by

# Who cites «DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks»

71 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks»](https://md.research.elamur.ai/free/en/papers/ding-2020-daga-data-augmentation-generation-approach/)

1. **[A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios](https://md.research.elamur.ai/free/en/papers/hedderich-2021-survey-recent-approaches-natural-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Michael A. Hedderich, Lukas Lange, Heike Adel, et al.*2021 · 400 citations*
2. [**Is GPT-3 a Good Data Annotator? arXiv:2212.10450**Bosheng Ding, Chengwei Qin, Linlin Liu, et al.*2022 · 145 citations*](https://md.research.elamur.ai/free/en/papers/ding-2022-gpt-3-good-data-annotator/)
3. **[RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction](https://md.research.elamur.ai/free/en/papers/chia-2022-relationprompt-leveraging-prompts-generate-synthetic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yew Ken Chia, Lidong Bing, Soujanya Poria, et al.*2022 · 141 citations*

68 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/ding-2020-daga-data-augmentation-generation-approach/) — DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks