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Towards Responsible Natural Language Annotation for the Varieties of Arabic

2022/03/17 by Bergman, A. Stevie, Diab, Mona T. · 1 citation
#Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences

paper · doi:10.48550/arxiv.2203.09597

Abstract

When building NLP models, there is a tendency to aim for broader coverage, often overlooking cultural and (socio)linguistic nuance. In this position paper, we make the case for care and attention to such nuances, particularly in dataset annotation, as well as the inclusion of cultural and linguistic expertise in the process. We present a playbook for responsible dataset creation for polyglossic, multidialectal languages. This work is informed by a study on Arabic annotation of social media content.

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