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AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation
Research article (Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021) · cited 20× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/augnlg-few-shot-natural-language-generation-using-self-trained-data-augmentation
MLA“AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/augnlg-few-shot-natural-language-generation-using-self-trained-data-augmentation.
BibTeX@misc{4ortxyz_augnlg-few-shot-natural-language-generation-using-self-trained-data-augmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation}}, year = {2026}, url = {https://4ort.xyz/entity/augnlg-few-shot-natural-language-generation-using-self-trained-data-augmentation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation — https://4ort.xyz/entity/augnlg-few-shot-natural-language-generation-using-self-trained-data-augmentation (retrieved 2026-05-24)