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home / docs / papers / cited-by / Who cites «Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns» · page 2

Who cites «Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns» · page 2

142 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Pages: 1 · 2

  1. GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  2. Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  3. Language (Technology) is Power: A Critical Survey of ``Bias'''' in NLP — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  4. Measuring and Reducing Gendered Correlations in Pre-trained Models — 2020 · arXiv:2010.06032
  5. Model-based Annotation of Coreference — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  6. Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  7. PeTra: A Sparsely Supervised Memory Model for People Tracking — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  8. Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research — 2020 · Proceedings of the Second Workshop on Gender Bias in Natural Language Processing
  9. Toward Gender-Inclusive Coreference Resolution — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  10. Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  11. Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  12. Unmasking Contextual Stereotypes: Measuring and Mitigating BERT''s Gender Bias — 2020 · Proceedings of the Second Workshop on Gender Bias in Natural Language Processing
  13. ``You are grounded!'''': Latent Name Artifacts in Pre-trained Language Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  14. A Neural Entity Coreference Resolution Review — 2019 · Expert Systems with Applications, Volume 168, 15 April 2021, 114466
  15. Gendered Ambiguous Pronoun (GAP) Shared Task at the Gender Bias in NLP Workshop 2019 — 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing
  16. Gendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling — 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing
  17. Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis — 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing
  18. MSnet: A BERT-based Network for Gendered Pronoun Resolution — 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing
  19. Measuring Gender Bias in Word Embeddings across Domains and Discovering New Gender Bias Word Categories — 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing
  20. Mitigating Gender Bias in Natural Language Processing: Literature Review — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  21. On GAP Coreference Resolution Shared Task: Insights from the 3rd Place Solution — 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing
  22. PAWS: Paraphrase Adversaries from Word Scrambling — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  23. Perturbation Sensitivity Analysis to Detect Unintended Model Biases — 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)
  24. Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview — 2019 · arXiv:1912.11078 · Association for Computational Linguistics. (2020) 5248--5264
  25. Proposed Taxonomy for Gender Bias in Text; A Filtering Methodology for the Gender Generalization Subtype — 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing
  26. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems — 2019 · arXiv:1905.00537
  27. The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution — our card · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  28. The Referential Reader: A Recurrent Entity Network for Anaphora Resolution — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  29. Transfer Learning from Pre-trained BERT for Pronoun Resolution — 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing
  30. WikiCREM: A Large Unsupervised Corpus for Coreference Resolution — 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)
  31. anastasiou-2024-luxembourgish-corpus-as-gender-bias
  32. cimitan-2024-curation-benchmark-templates-measuring-gender
  33. gautam-2026-training-step-step-formal-reasoning
  34. horych-2024-magpie-multi-task-analysis-media
  35. khosla-2023-information-extraction-program-synthesis-goal
  36. kim-2024-dynamicer-resolving-emerging-mentions-dynamic
  37. meng-2023-rgat-deeper-look-syntactic-dependency
  38. munro-2020-detecting-independent-pronoun-bias-partially
  39. stanovsky-2019-evaluating-gender-bias-machine-translation
  40. swart-2025-detecting-linguistic-bias-government-documents
  41. zhao-2021-construction-chinese-sentence-level-gender
  42. zhu-2024-do-plms-annotators-share-same

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