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home / docs / papers / cited-by / Who cites «Twitter Universal Dependency Parsing for African-American and Mainstream American English»

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

  1. How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline — 2026 · arXiv:2604.04204
  2. TækTåk: Syntactic Analysis of Language Use on Danish TikTok — 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 — 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 — 2025 · arXiv:2510.14949
  5. Harnessing Test-time Adaptation for NLU tasks Involving Dialects of English — 2025 · arXiv:2503.12858
  6. Reinforcing Stereotypes of Anger: Emotion AI on African American Vernacular English — 2025 · arXiv:2511.10846
  7. Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties — 2025 · arXiv:2505.20875
  8. A Comprehensive View of the Biases of Toxicity and Sentiment Analysis Methods Towards Utterances with African American English Expressions — 2024 · arXiv:2401.12720
  9. DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages — 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 — 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 — 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 — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  13. Perceptions of Language Technology Failures from South Asian English Speakers — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  14. Understanding the Impacts of Language Technologies' Performance Disparities on African American Language Speakers — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  15. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules — 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 — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  17. Multi-VALUE: A Framework for Cross-Dialectal English NLP — 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 — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  19. Task-Agnostic Low-Rank Adapters for Unseen English Dialects — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  20. Challenges to Open-Domain Constituency Parsing — 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 — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  22. Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  23. Out-of-Domain Evaluation of Finnish Dependency Parsing — 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 — 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 — 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 — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  27. 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)
  28. You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings — 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 — 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 — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  31. Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP — 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 — 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 — 2021 · Transactions of the Association for Computational Linguistics
  34. Language (Technology) is Power: A Critical Survey of ``Bias'''' in NLP — 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 — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  36. Presenting TWITTIRÒ-UD: An Italian Twitter Treebank in Universal Dependencies — 2019 · Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)
  37. tweeDe – A Universal Dependencies treebank for German tweets — 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 — 2018 · Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)
  39. Modeling Input Uncertainty in Neural Network Dependency Parsing — 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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