---
title: "Who cites From Shakespeare to Twitter: What are Language…"
description: "The papers of the Elamur Research library that cite «From Shakespeare to Twitter: What are Language Styles all about?», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/xu-2017-shakespeare-twitter-what-are-language/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/xu-2017-shakespeare-twitter-what-are-language/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [From Shakespeare to Twitter: What are Language…](https://md.research.elamur.ai/free/en/papers/xu-2017-shakespeare-twitter-what-are-language/) / cited by

# Who cites «From Shakespeare to Twitter: What are Language Styles all about?»

12 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/xu-2017-shakespeare-twitter-what-are-language/)

1. [Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style](https://aclanthology.org/2026.acl-long.2030/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs](https://aclanthology.org/2024.personalize-1.6/) *— 2024 · Proceedings of the 1st Workshop on Personalization of Generative AI Systems (PERSONALIZE 2024)*
3. [Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding](https://aclanthology.org/2024.acl-long.740/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Learning Interpretable Style Embeddings via Prompting LLMs](https://aclanthology.org/2023.findings-emnlp.1020/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
5. [Construction and Validation of a Japanese Honorific Corpus Based on Systemic Functional Linguistics](https://aclanthology.org/2022.dclrl-1.3/) *— 2022 · Proceedings of the Workshop on Dataset Creation for Lower-Resourced Languages within the 13th Language Resources and Evaluation Conference*
6. [Contextualizing Variation in Text Style Transfer Datasets](https://aclanthology.org/2021.inlg-1.22/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
7. [Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework](https://aclanthology.org/2021.emnlp-main.569/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
8. [Learning to Generate Multiple Style Transfer Outputs for an Input Sentence](https://aclanthology.org/2020.ngt-1.2/) *— 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation*
9. [TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification](https://arxiv.org/abs/2010.12421) *— 2020 · arXiv:2010.12421*
10. [The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation](https://arxiv.org/abs/1910.03747) *— 2019 · arXiv:1910.03747*
11. [Unsupervised Learning of Style-sensitive Word Vectors](https://aclanthology.org/P18-2091/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
12. [What is wrong with style transfer for texts?](https://arxiv.org/abs/1808.04365) *— 2018 · arXiv:1808.04365*
