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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Gender Bias in Coreference Resolution
Rachel Rudinger, Jason Naradowsky, Brian Leonard, et al.
(2018)
Open Access | Times Cited: 438

Showing 1-25 of 438 citing articles:

A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi, Fred Morstatter, Nripsuta Ani Saxena, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 6, pp. 1-35
Open Access | Times Cited: 2834
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 911
Language (Technology) is Power: A Critical Survey of “Bias” in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé, et al.
(2020)
Open Access | Times Cited: 678
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.
(2018)
Open Access | Times Cited: 627
Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov, James Glass
Transactions of the Association for Computational Linguistics (2019) Vol. 7, pp. 49-72
Open Access | Times Cited: 508
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh, Albert Webson, Colin Raffel, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 465
Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun, Andrew Gaut, Shirlyn Tang, et al.
(2019)
Open Access | Times Cited: 417
StereoSet: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke, Siva Reddy
(2021)
Open Access | Times Cited: 417
Targeted Syntactic Evaluation of Language Models
Rebecca Marvin, Tal Linzen
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2018)
Open Access | Times Cited: 397
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Alexander D’Amour, Katherine Heller, Dan Moldovan, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 364
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng, Kai-Wei Chang, Prem Natarajan, et al.
(2019)
Open Access | Times Cited: 359
Learning Gender-Neutral Word Embeddings
Jieyu Zhao, Yichao Zhou, Zeyu Li, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2018)
Open Access | Times Cited: 352
Measuring Bias in Contextualized Word Representations
Keita Kurita, Nidhi Vyas, Ayush Pareek, et al.
(2019)
Open Access | Times Cited: 335
A Review on Fairness in Machine Learning
Dana Pessach, Erez Shmueli
ACM Computing Surveys (2022) Vol. 55, Iss. 3, pp. 1-44
Closed Access | Times Cited: 327
Gender Bias in Contextualized Word Embeddings
Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.
(2019)
Open Access | Times Cited: 324
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
Nikita Nangia, Clara Vania, Rasika Bhalerao, et al.
(2020)
Open Access | Times Cited: 307
Evaluating Gender Bias in Machine Translation
Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer
(2019)
Open Access | Times Cited: 303
Evaluating Models’ Local Decision Boundaries via Contrast Sets
Matt Gardner, Yoav Artzi, Victoria Basmov, et al.
(2020)
Open Access | Times Cited: 274

Yuan Zhang, Jason Baldridge, Luheng He
(2019)
Closed Access | Times Cited: 255
Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns
Kellie Webster, Marta Vilar Recasens, Vera Axelrod, et al.
Transactions of the Association for Computational Linguistics (2018) Vol. 6, pp. 605-617
Open Access | Times Cited: 244
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview
Deven Santosh Shah, H. Andrew Schwartz, Dirk Hovy
(2020)
Open Access | Times Cited: 221
Identifying and Reducing Gender Bias in Word-Level Language Models
Shikha Bordia, Samuel R. Bowman
(2019)
Open Access | Times Cited: 211
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology
Ran Zmigrod, Sebastian J. Mielke, Hanna Wallach, et al.
(2019)
Open Access | Times Cited: 208
Gender Bias in Neural Natural Language Processing
Kaiji Lu, Piotr Mardziel, Fang–Jing Wu, et al.
Lecture notes in computer science (2020), pp. 189-202
Closed Access | Times Cited: 202
Gender and Representation Bias in GPT-3 Generated Stories
Li Lucy, David Bamman
(2021)
Open Access | Times Cited: 199
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