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# 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](https://md.mova.elamur.ai/free/en/docs/papers/webster-2018-mind-gap-balanced-corpus-gendered/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/webster-2018-mind-gap-balanced-corpus-gendered/) · **2**

1. [GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies](https://aclanthology.org/2020.lrec-1.502/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
2. [Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus](https://aclanthology.org/2020.acl-main.619/) *— 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](https://aclanthology.org/2020.acl-main.485/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
4. [Measuring and Reducing Gendered Correlations in Pre-trained Models](https://arxiv.org/abs/2010.06032) *— 2020 · arXiv:2010.06032*
5. [Model-based Annotation of Coreference](https://aclanthology.org/2020.lrec-1.9/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
6. [Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations](https://aclanthology.org/2020.coling-main.446/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
7. [PeTra: A Sparsely Supervised Memory Model for People Tracking](https://aclanthology.org/2020.acl-main.481/) *— 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](https://aclanthology.org/2020.gebnlp-1.10/) *— 2020 · Proceedings of the Second Workshop on Gender Bias in Natural Language Processing*
9. [Toward Gender-Inclusive Coreference Resolution](https://aclanthology.org/2020.acl-main.418/) *— 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](https://aclanthology.org/2020.emnlp-main.209/) *— 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](https://aclanthology.org/2020.emnlp-main.660/) *— 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](https://aclanthology.org/2020.gebnlp-1.1/) *— 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](https://aclanthology.org/2020.emnlp-main.556/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
14. [A Neural Entity Coreference Resolution Review](https://arxiv.org/abs/1910.09329) *— 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](https://aclanthology.org/W19-3801/) *— 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](https://aclanthology.org/W19-3820/) *— 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](https://aclanthology.org/W19-3809/) *— 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing*
18. [MSnet: A BERT-based Network for Gendered Pronoun Resolution](https://aclanthology.org/W19-3813/) *— 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](https://aclanthology.org/W19-3804/) *— 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing*
20. [Mitigating Gender Bias in Natural Language Processing: Literature Review](https://aclanthology.org/P19-1159/) *— 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](https://aclanthology.org/W19-3816/) *— 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing*
22. [PAWS: Paraphrase Adversaries from Word Scrambling](https://aclanthology.org/N19-1131/) *— 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](https://aclanthology.org/D19-1578/) *— 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](https://arxiv.org/abs/1912.11078) *— 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](https://aclanthology.org/W19-3802/) *— 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing*
26. [SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems](https://arxiv.org/abs/1905.00537) *— 2019 · arXiv:1905.00537*
27. [The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution](https://md.mova.elamur.ai/free/en/docs/papers/emami-2019-knowref-coreference-corpus-removing-gender/) *— 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](https://aclanthology.org/P19-1593/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
29. [Transfer Learning from Pre-trained BERT for Pronoun Resolution](https://aclanthology.org/W19-3812/) *— 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing*
30. [WikiCREM: A Large Unsupervised Corpus for Coreference Resolution](https://aclanthology.org/D19-1439/) *— 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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