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Found 4 papers, 2 papers with code
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.
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.
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.
Is Machine Learning Speaking my Language? A Critical Look at the NLP-Pipeline Across 8 Human Languages
Natural Language Processing (NLP) is increasingly used as a key ingredient in critical decision-making systems such as resume parsers used in sorting a list of job candidates.
