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

A Framework for Evaluation of Machine Reading Comprehension Gold Standards — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
A Neural Model for Aggregating Coreference Annotation in Crowdsourcing — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
CLUE: A Chinese Language Understanding Evaluation Benchmark — 2020 · arXiv:2004.05986
CorefQA: Coreference Resolution as Query-based Span Prediction — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Coreferential Reasoning Learning for Language Representation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Demoting Racial Bias in Hate Speech Detection — 2020 · Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media
Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Enhanced Labelling in Active Learning for Coreference Resolution — 2020 · Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference
Fast End-to-end Coreference Resolution for Korean — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics
GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
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
Language (Technology) is Power: A Critical Survey of ``Bias'''' in NLP — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Measuring and Reducing Gendered Correlations in Pre-trained Models — 2020 · arXiv:2010.06032
Model-based Annotation of Coreference — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
PeTra: A Sparsely Supervised Memory Model for People Tracking — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
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
Toward Gender-Inclusive Coreference Resolution — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
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)
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)
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT''s Gender Bias — 2020 · Proceedings of the Second Workshop on Gender Bias in Natural Language Processing
``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)
A Neural Entity Coreference Resolution Review — 2019 · Expert Systems with Applications, Volume 168, 15 April 2021, 114466
Evaluating Gender Bias in Machine Translation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
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
Gendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling — 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing
Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis — 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing
MSnet: A BERT-based Network for Gendered Pronoun Resolution — 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing
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
Mitigating Gender Bias in Natural Language Processing: Literature Review — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
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
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)
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)
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview — 2019 · arXiv:1912.11078 · Association for Computational Linguistics. (2020) 5248--5264
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
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems — 2019 · arXiv:1905.00537
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
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Transfer Learning from Pre-trained BERT for Pronoun Resolution — 2019 · Proceedings of the First Workshop on Gender Bias in Natural Language Processing
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)