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Jonas-Dario Troles

1 paper here

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author position
  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.CL1

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most citedExtending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2021★ 6 cited

Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives

Jonas-Dario Troles, Ute Schmid

Human gender bias is reflected in language and text production. Because state-of-the-art machine translation (MT) systems are trained on large corpora of text, mostly generated by…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.