Ensuring the Inclusive Use of Natural Language Processing in the Global
Response to COVID-19
- URL: http://arxiv.org/abs/2108.10791v1
- Date: Wed, 11 Aug 2021 12:54:26 GMT
- Title: Ensuring the Inclusive Use of Natural Language Processing in the Global
Response to COVID-19
- Authors: Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga
Lam, Joseph Aylett-Bullock, Miguel Luengo-Oroz
- Abstract summary: We discuss ways in which current and future NLP approaches can be made more inclusive by covering low-resource languages.
We suggest several future directions for researchers interested in maximizing the positive societal impacts of NLP.
- Score: 58.720142291102135
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Natural language processing (NLP) plays a significant role in tools for the
COVID-19 pandemic response, from detecting misinformation on social media to
helping to provide accurate clinical information or summarizing scientific
research. However, the approaches developed thus far have not benefited all
populations, regions or languages equally. We discuss ways in which current and
future NLP approaches can be made more inclusive by covering low-resource
languages, including alternative modalities, leveraging out-of-the-box tools
and forming meaningful partnerships. We suggest several future directions for
researchers interested in maximizing the positive societal impacts of NLP.
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