Form of presentation | Articles in international journals and collections |
Year of publication | 2024 |
Язык | английский |
|
Tutubalina Elena Viktorovna, author
|
Bibliographic description in the original language |
Davydova V, Yang H, Tutubalina E., Data and models for stance and premise detection in COVID-19 tweets: Insights from the Social Media Mining for Health (SMM4H) 2022 shared task//Journal of Biomedical Informatics. - 2024. - Vol.149, Is.. - Art. №104555. |
Keywords |
natural language processing, neural networks, deep learning |
The name of the journal |
Journal of Biomedical Informatics
|
URL |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180417865&doi=10.1016%2fj.jbi.2023.104555&partnerID=40&md5=c6ddd871875e0cc8a06ffcac4ce0fbda |
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=296250&p_lang=2 |
Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Tutubalina Elena Viktorovna |
ru_RU |
dc.date.accessioned |
2024-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2024-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2024 |
ru_RU |
dc.identifier.citation |
Davydova V, Yang H, Tutubalina E., Data and models for stance and premise detection in COVID-19 tweets: Insights from the Social Media Mining for Health (SMM4H) 2022 shared task//Journal of Biomedical Informatics. - 2024. - Vol.149, Is.. - Art. №104555. |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=296250&p_lang=2 |
ru_RU |
dc.description.abstract |
Journal of Biomedical Informatics |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
natural language processing |
ru_RU |
dc.subject |
neural networks |
ru_RU |
dc.subject |
deep learning |
ru_RU |
dc.title |
Data and models for stance and premise detection in COVID-19 tweets: Insights from the Social Media Mining for Health (SMM4H) 2022 shared task |
ru_RU |
dc.type |
Articles in international journals and collections |
ru_RU |
|