Search Results for author: Jeanna Matthews

Found 2 papers, 1 papers with code

Gender Bias in Natural Language Processing Across Human Languages

no code implementations NAACL (TrustNLP) 2021 Abigail Matthews, Isabella Grasso, Christopher Mahoney, Yan Chen, Esma Wali, Thomas Middleton, Mariama Njie, Jeanna Matthews

In this paper, a team including speakers of 9 languages - Chinese, Spanish, English, Arabic, German, French, Farsi, Urdu, and Wolof - reports and analyzes measurements of gender bias in the Wikipedia corpora for these 9 languages.

Decision Making

Roadblocks in Gender Bias Measurement for Diachronic Corpora

1 code implementation LChange (ACL) 2022 Saied Alshahrani, Esma Wali, Abdullah R Alshamsan, Yan Chen, Jeanna Matthews

The use of word embeddings is an important NLP technique for extracting meaningful conclusions from corpora of human text.

Word Embeddings

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