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Jennifer for COVID-19: An NLP-Powered Chatbot Built for the Peopleand by the People to Combat Misinformation
IBM Research - Almaden.
The Data-Driven Institute.
University of North Carolina - Chapel Hill.
The National Academies of Sciences, Engineering and Medicine.
Show others and affiliations
2020 (English)In: Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020, 2020Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Just as SARS-CoV-2 continues to infect a growing number of people around the world, harmful misinformation about the outbreak also continues to spread. We designed and built Jennifer chatbot to provide easily accessible information from reliable resources to answer questions related to the current COVID-19 pandemic. It covers a wide variety of topics, from case statistics to best practices for disease prevention and management.

Place, publisher, year, edition, pages
2020.
Keywords [en]
Natural Language Processing, Covid-19, Information, Misinformation
National Category
Natural Language Processing
Research subject
language studies; computer and systems sciences; Medicine
Identifiers
URN: urn:nbn:se:umu:diva-189857Scopus ID: 2-s2.0-85149139766OAI: oai:DiVA.org:umu-189857DiVA, id: diva2:1613698
Conference
ACL 2020 Workshop on Natural Language Processing for COVID-19 (NLP-COVID), Seattle, Washington, USA, July 9-10, 2020
Note

Short conference paper

Available from: 2021-11-23 Created: 2021-11-23 Last updated: 2025-02-07Bibliographically approved

Open Access in DiVA

Submitted paper(359 kB)298 downloads
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fulltext(171 kB)147 downloads
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Kieselbach, Thomas

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
  • rtf