Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals-Reference-Cited by-同舟云学术

Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals

Published:2022-07-26 Issue: Volume: Page:
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Container-title:Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
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Author:

Omrani Sabbaghi Shiva¹,Caliskan Aylin²

Affiliation:

1. George Washington University, Washington, DC, USA

2. University of Washington, Seattle, WA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3514094.3534176

Reference65 articles.

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2. Grammatical Gender and Number Agreement in Spanish: An ERP Comparison

3. Siamak Barzegar , Brian Davis , Manel Zarrouk , Siegfried Handschuh , and Andre Freitas . 2018 . SemR-11: A Multi-Lingual Gold-Standard for Semantic Similarity and Relatedness for Eleven Languages . In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). European Language Resources Association (ELRA), Miyazaki, Japan. https: //www.aclweb.org/anthology/L18--1618 Siamak Barzegar, Brian Davis, Manel Zarrouk, Siegfried Handschuh, and Andre Freitas. 2018. SemR-11: A Multi-Lingual Gold-Standard for Semantic Similarity and Relatedness for Eleven Languages. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). European Language Resources Association (ELRA), Miyazaki, Japan. https: //www.aclweb.org/anthology/L18--1618

4. Giacomo Berardi Andrea Esuli and Diego Marcheggiani. 2015. Word Embeddings Go to Italy: A Comparison of Models and Training Datasets.. In IIR. Giacomo Berardi Andrea Esuli and Diego Marcheggiani. 2015. Word Embeddings Go to Italy: A Comparison of Models and Training Datasets.. In IIR.

5. Polish: An Essential Grammar

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