Current State-of-the-Art of Bias Detection and Mitigation in Machine Translation for African and European Languages: a Review

Autor: Ikae, Catherine, Kurpicz-Briki, Mascha

Studying bias detection and mitigation methods in natural language processing and the particular case of machine translation is highly relevant, as societal stereotypes might be reflected or reinforced by these systems. In this paper, we analyze the

Externí odkaz: http://arxiv.org/abs/2410.21126

Gender identification on Twitter.

Autor: Ikae, Catherine¹, Savoy, Jacques¹ jacques.savoy@unine.ch

Publikováno v: Journal of the Association for Information Science & Technology. Jan2022, Vol. 73 Issue 1, p58-69. 12p. 1 Diagram, 5 Charts.

Natural Language Processing for Work-Related Stress Detection Among Health Professionals: Protocol for a Scoping Review.

Autor: Bieri JS; Department of Health Professions, Bern University of Applied Sciences, Bern, Switzerland., Ikae C; School of Engineering and Computer Science, Bern University of Applied Sciences, Bern, Switzerland., Souissi SB; School of Engineering and Computer Science, Bern University of Applied Sciences, Bern, Switzerland., Müller TJ; Private Clinic Meiringen, Bern, Switzerland.; Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland., Schlunegger MC; Department of Health Professions, Bern University of Applied Sciences, Bern, Switzerland., Golz C; Department of Health Professions, Bern University of Applied Sciences, Bern, Switzerland.

Publikováno v: JMIR research protocols [JMIR Res Protoc] 2024 May 15; Vol. 13, pp. e56267. Date of Electronic Publication: 2024 May 15.