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Found 4 papers, 3 papers with code
Roadblocks in Gender Bias Measurement for Diachronic Corpora
The use of word embeddings is an important NLP technique for extracting meaningful conclusions from corpora of human text.
Gender Bias in Natural Language Processing Across Human Languages
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.
Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia Edition
Wikipedia articles (content pages) are commonly used corpora in Natural Language Processing (NLP) research, especially in low-resource languages other than English.
Arabic Synonym BERT-based Adversarial Examples for Text Classification
To evaluate the grammatical and semantic similarities of the newly produced adversarial examples using our synonym BERT-based attack, we invite four human evaluators to assess and compare the produced adversarial examples with their original examples.
