Home ›
Entities
› academia
› TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling
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
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling. Retrieved October 20, 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, 20 Oct. 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: 2026-10-20}}
LLM promptAccording 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 2026-10-20)