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# Who cites «Twitter Universal Dependency Parsing for African-American and Mainstream American English»

43 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-blodgett-twitter-universal-dependency-parsing-african/)

1. [How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline](https://arxiv.org/abs/2604.04204) *— 2026 · arXiv:2604.04204*
2. [TækTåk: Syntactic Analysis of Language Use on Danish TikTok](https://aclanthology.org/2026.lrec-1.902/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
3. [A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems](https://aclanthology.org/2025.acl-long.1554/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation](https://arxiv.org/abs/2510.14949) *— 2025 · arXiv:2510.14949*
5. [Harnessing Test-time Adaptation for NLU tasks Involving Dialects of English](https://arxiv.org/abs/2503.12858) *— 2025 · arXiv:2503.12858*
6. [Reinforcing Stereotypes of Anger: Emotion AI on African American Vernacular English](https://arxiv.org/abs/2511.10846) *— 2025 · arXiv:2511.10846*
7. [Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties](https://arxiv.org/abs/2505.20875) *— 2025 · arXiv:2505.20875*
8. [A Comprehensive View of the Biases of Toxicity and Sentiment Analysis Methods Towards Utterances with African American English Expressions](https://arxiv.org/abs/2401.12720) *— 2024 · arXiv:2401.12720*
9. [DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages](https://aclanthology.org/2024.acl-long.777/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties](https://aclanthology.org/2024.eacl-long.28/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [Language and Speech Technology for Central Kurdish Varieties](https://aclanthology.org/2024.lrec-main.877/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
12. [Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination](https://aclanthology.org/2024.emnlp-main.750/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
13. [Perceptions of Language Technology Failures from South Asian English Speakers](https://aclanthology.org/2024.findings-acl.241/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
14. [Understanding the Impacts of Language Technologies' Performance Disparities on African American Language Speakers](https://aclanthology.org/2024.findings-acl.761/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
15. [DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules](https://md.mova.elamur.ai/free/en/docs/papers/liu-2023-dada-dialect-adaptation-dynamic-aggregation/) *— our card · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
16. [Evaluation of African American Language Bias in Natural Language Generation](https://aclanthology.org/2023.emnlp-main.421/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
17. [Multi-VALUE: A Framework for Cross-Dialectal English NLP](https://md.mova.elamur.ai/free/en/docs/papers/ziems-2023-multi-value-framework-cross-dialectal/) *— our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [TADA : Task Agnostic Dialect Adapters for English](https://aclanthology.org/2023.findings-acl.51/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
19. [Task-Agnostic Low-Rank Adapters for Unseen English Dialects](https://aclanthology.org/2023.emnlp-main.487/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
20. [Challenges to Open-Domain Constituency Parsing](https://aclanthology.org/2022.findings-acl.11/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
21. [Don''t Just Clean It, Proxy Clean It: Mitigating Bias by Proxy in Pre-Trained Models](https://aclanthology.org/2022.findings-emnlp.372/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
22. [Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference](https://aclanthology.org/2022.coling-1.124/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
23. [Out-of-Domain Evaluation of Finnish Dependency Parsing](https://aclanthology.org/2022.lrec-1.120/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
24. [Towards a Deep Multi-layered Dialectal Language Analysis: A Case Study of African-American English](https://aclanthology.org/2022.hcinlp-1.8/) *— 2022 · Proceedings of the Second Workshop on Bridging Human–Computer Interaction and Natural Language Processing*
25. [TwittIrish: A Universal Dependencies Treebank of Tweets in Modern Irish](https://aclanthology.org/2022.acl-long.473/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
26. [Upstream Mitigation Is \textit Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models](https://aclanthology.org/2022.acl-long.247/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
27. [VALUE: Understanding Dialect Disparity in NLU](https://md.mova.elamur.ai/free/en/docs/papers/ziems-2022-value-understanding-dialect-disparity-nlu/) *— our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
28. [You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings](https://aclanthology.org/2022.bigscience-1.3/) *— 2022 · Proceedings of BigScience Episode \#5 – Workshop on Challenges & Perspectives in Creating Large Language Models*
29. [A Survey of Race, Racism, and Anti-Racism in NLP](https://aclanthology.org/2021.acl-long.149/) *— 2021 · 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)*
30. [Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding](https://aclanthology.org/2021.findings-emnlp.352/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
31. [Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP](https://aclanthology.org/2021.eacl-demos.22/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations*
32. [MultiLexNorm: A Shared Task on Multilingual Lexical Normalization](https://aclanthology.org/2021.wnut-1.55/) *— 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)*
33. [Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics](https://aclanthology.org/2021.tacl-1.74/) *— 2021 · Transactions of the Association for Computational Linguistics*
34. [Language (Technology) is Power: A Critical Survey of ``Bias'''' in NLP](https://aclanthology.org/2020.acl-main.485/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
35. [Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies](https://aclanthology.org/2020.lrec-1.645/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
36. [Presenting TWITTIRÒ-UD: An Italian Twitter Treebank in Universal Dependencies](https://aclanthology.org/W19-7723/) *— 2019 · Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)*
37. [tweeDe – A Universal Dependencies treebank for German tweets](https://aclanthology.org/W19-7811/) *— 2019 · Proceedings of the 18th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2019)*
38. [Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing](https://aclanthology.org/W18-6005/) *— 2018 · Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)*
39. [Modeling Input Uncertainty in Neural Network Dependency Parsing](https://aclanthology.org/D18-1542/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
40. domingo-2021-what-is-social-media-that
41. finch-2025-finding-voice-exploring-potential-african
42. nguyen-2025-we-need-measure-data-diversity
43. porwal-2025-analysis-llm-as-grammatical-feature
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