Towards Responsible Natural Language Annotation for the Varieties of Arabic

被引：0
|
作者：
Bergman, A. Stevie [1 ]
Diab, Mona T. [2 ]
机构：
[1] Meta, Responsible AI, New York, NY 10003 USA
[2] Meta, Responsible AI, Seattle, WA USA
来源：
FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022) | 2022年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：364 / 371
页数：8
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