Who cites «Learning a POS tagger for AAVE-like language»
- How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline — 2026 · arXiv:2604.04204
- A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Dialect prejudice predicts AI decisions about people's character, employability, and criminality — 2024 · arXiv:2403.00742
- Leveraging Syntactic Dependencies in Disambiguation: The Case of African American English — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Perceptions of Language Technology Failures from South Asian English Speakers — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Being Right for Whose Right Reasons? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules — our card · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Evaluation of African American Language Bias in Natural Language Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- TADA : Task Agnostic Dialect Adapters for English — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Task-Agnostic Low-Rank Adapters for Unseen English Dialects — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text — 2022 · arXiv:2202.06935
- Towards a Deep Multi-layered Dialectal Language Analysis: A Case Study of African-American English — 2022 · Proceedings of the Second Workshop on Bridging Human–Computer Interaction and Natural Language Processing
- VALUE: Understanding Dialect Disparity in NLU — our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- The Importance of Modeling Social Factors of Language: Theory and Practice — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Language (Technology) is Power: A Critical Survey of ``Bias'''' in NLP — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts — 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)
- Twitter Universal Dependency Parsing for African-American and Mainstream American English — our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English — 2017 · arXiv:1707.00061
- Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression — 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Demographic Dialectal Variation in Social Media: A Case Study of African-American English — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- lameris-2021-whit-s-richt-pairt-o — our card
- langhe-2025-modeling-syntactic-dependencies-southern-dutch
- mikhael-2025-potential-c2xg-s-unsupervised-learning
- porwal-2025-analysis-llm-as-grammatical-feature
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/jorgensen-2016-learning-pos-tagger-aave-like/