Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities.
Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities.
复制标题
走向基于社区的自然语言处理（CBNLP）：与社区共同创造。
DOI：
10.2196/48498
复制
发表时间：
2023-08-04
影响因子：
7.4
通讯作者：
McCall, Terika
中科院分区：
文献类型：
--
作者：
Pillai, Malvika;Griffin, Ashley C.;Kronk, Clair A.;McCall, Terika
关键词：
自然语言处理（NLP）技术的快速发展和采用带来了许多令人兴奋的创新社会和医疗保健应用。这些进步也引起了人们对历史不公正永久化的关切，这些工具缺乏文化考虑。虽然传统的医疗保健NLP技术通常包括临床主题专家来提取健康信息或帮助解释，但很少有NLP工具涉及具有生活经验的社区利益相关者。在这篇透视论文中，我们借鉴了基于社区的参与式研究领域，该领域收集了社区成员对公共卫生干预措施发展的投入，以确定和研究如何公平地让社区参与开发医疗保健NLP工具。为了实现基于社区的自然语言处理（CBNLP）的潜力，研究和开发团队必须深思熟虑地考虑与社区成员有效合作所需的机制和资源，以最大限度地发挥基于NLP的工具的社会和伦理影响。
Rapid development and adoption of natural language processing (NLP) techniques has led to a multitude of exciting and innovative societal and health care applications. These advancements have also generated concerns around perpetuation of historical injustices and that these tools lack cultural considerations. While traditional health care NLP techniques typically include clinical subject matter experts to extract health information or aid in interpretation, few NLP tools involve community stakeholders with lived experiences. In this perspective paper, we draw upon the field of community-based participatory research, which gathers input from community members for development of public health interventions, to identify and examine ways to equitably involve communities in developing health care NLP tools. To realize the potential of community-based NLP (CBNLP), research and development teams must thoughtfully consider mechanisms and resources needed to effectively collaborate with community members for maximal societal and ethical impact of NLP-based tools.
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