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# Who cites «Learning a POS tagger for AAVE-like language»

25 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/jorgensen-2016-learning-pos-tagger-aave-like/)

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. [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)*
3. [Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks](https://aclanthology.org/2025.acl-long.317/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Dialect prejudice predicts AI decisions about people's character, employability, and criminality](https://arxiv.org/abs/2403.00742) *— 2024 · arXiv:2403.00742*
5. [Leveraging Syntactic Dependencies in Disambiguation: The Case of African American English](https://aclanthology.org/2024.lrec-main.909/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
6. [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*
7. [Being Right for Whose Right Reasons?](https://aclanthology.org/2023.acl-long.59/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [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*
9. [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*
10. [TADA : Task Agnostic Dialect Adapters for English](https://aclanthology.org/2023.findings-acl.51/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
11. [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*
12. [Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text](https://arxiv.org/abs/2202.06935) *— 2022 · arXiv:2202.06935*
13. [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*
14. [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)*
15. [The Importance of Modeling Social Factors of Language: Theory and Practice](https://aclanthology.org/2021.naacl-main.49/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
16. [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*
17. [Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts](https://aclanthology.org/D19-1666/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
18. [Twitter Universal Dependency Parsing for African-American and Mainstream American English](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-blodgett-twitter-universal-dependency-parsing-african/) *— our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English](https://arxiv.org/abs/1707.00061) *— 2017 · arXiv:1707.00061*
20. [Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression](https://aclanthology.org/C16-1207/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
21. [Demographic Dialectal Variation in Social Media: A Case Study of African-American English](https://aclanthology.org/D16-1120/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
22. [lameris-2021-whit-s-richt-pairt-o](https://md.mova.elamur.ai/free/en/docs/papers/lameris-2021-whit-s-richt-pairt-o/) *— our card*
23. langhe-2025-modeling-syntactic-dependencies-southern-dutch
24. mikhael-2025-potential-c2xg-s-unsupervised-learning
25. porwal-2025-analysis-llm-as-grammatical-feature
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