"Es geht um Respekt, nicht um Technologie": Erkenntnisse aus einem
Interessensgruppen-übergreifenden Workshop zu genderfairer Sprache und
Sprachtechnologie

"Es geht um Respekt, nicht um Technologie": Erkenntnisse aus einem Interessensgruppen-übergreifenden Workshop zu genderfairer Sprache und Sprachtechnologie

6 September 2022

Sabrina Burtscher

Lukas Daniel Klausner

Manuel Lardelli

ArXiv (abs)PDF HTML

Papers citing ""Es geht um Respekt, nicht um Technologie": Erkenntnisse aus einem Interessensgruppen-übergreifenden Workshop zu genderfairer Sprache und Sprachtechnologie"

10 / 10 papers shown

Title
Gender Bias in Machine Translation Beatrice Savoldi Marco Gaido L. Bentivogli Matteo Negri Marco Turchi 166 206 0 13 Apr 2021
Mitigating Gender Bias in Machine Translation with Target Gender Annotations Arturs Stafanovivcs Toms Bergmanis Marcis Pinnis 54 58 0 13 Oct 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP Su Lin Blodgett Solon Barocas Hal Daumé Hanna M. Wallach 157 1,257 0 28 May 2020
Getting Gender Right in Neural Machine Translation Eva Vanmassenhove Christian Hardmeier Andy Way 83 196 0 11 Sep 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review Tony Sun Andrew Gaut Shirlyn Tang Yuxin Huang Mai Elsherief Jieyu Zhao Diba Mirza E. Belding-Royer Kai-Wei Chang William Yang Wang AI4CE 108 563 0 21 Jun 2019
Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection Amit Moryossef Roee Aharoni Yoav Goldberg 36 52 0 08 Mar 2019
Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques Joel Escudé Font Marta R. Costa-jussá 72 170 0 10 Jan 2019
Assessing Gender Bias in Machine Translation -- A Case Study with Google Translate Marcelo O. R. Prates Pedro H. C. Avelar Luís C. Lamb 61 349 0 06 Sep 2018
Learning Gender-Neutral Word Embeddings Jieyu Zhao Yichao Zhou Zeyu Li Wei Wang Kai-Wei Chang FaML 106 416 0 29 Aug 2018
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 114 3,156 0 21 Jul 2016

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