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Jennifer for COVID-...
Jennifer for COVID-19: An NLP-Powered Chatbot Built for the Peopleand by the People to Combat Misinformation
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- Li, Yunyao (författare)
- IBM Research - Almaden
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- Grandison, Tyrone (författare)
- The Data-Driven Institute
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- Silveyra, Patricia (författare)
- University of North Carolina - Chapel Hill
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- Douraghy, Ali (författare)
- The National Academies of Sciences, Engineering and Medicine
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- Guan, Xinyu (författare)
- Yale University
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- Kieselbach, Thomas (författare)
- Umeå universitet,Umeå universitetsbibliotek (UB)
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- Li, Chengka (författare)
- University of Texas - Arlington
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- Zhang, Haiqi (författare)
- University of Texas - Arlington
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(creator_code:org_t)
- 2020
- 2020
- Engelska.
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Ingår i: Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020.
- Relaterad länk:
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https://aclanthology...
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https://openreview.n...
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https://umu.diva-por... (primary) (Raw object)
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https://umu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Language Technology (hsv//eng)
Nyckelord
- Natural Language Processing
- Covid-19
- Information
- Misinformation
- language studies
- språkvetenskap
- data- och systemvetenskap
- computer and systems sciences
- Medicine
- medicin
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)