TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling

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 37× · AI/ML
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TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling

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TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling. Retrieved May 24, 2026, from https://4ort.xyz/entity/textsettr-few-shot-text-style-extraction-and-tunable-targeted-restyling
MLA “TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/textsettr-few-shot-text-style-extraction-and-tunable-targeted-restyling.
BibTeX @misc{4ortxyz_textsettr-few-shot-text-style-extraction-and-tunable-targeted-restyling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling}}, year = {2026}, url = {https://4ort.xyz/entity/textsettr-few-shot-text-style-extraction-and-tunable-targeted-restyling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling — https://4ort.xyz/entity/textsettr-few-shot-text-style-extraction-and-tunable-targeted-restyling (retrieved 2026-05-24)

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