BioBERT_HUNER_v2 models
Aits, Sonja LU
and Ahmed, Rafsan
LU
(2024)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/52cafdf3-8103-4d51-a3ce-28e7f180f404
- author
- Aits, Sonja
LU
and Ahmed, Rafsan
LU
- organization
-
- Cell Death, Lysosomes and Artificial Intelligence (research group)
- LU Profile Area: Nature-based future solutions
- LU Profile Area: Natural and Artificial Cognition
- LTH Profile Area: Engineering Health
- LTH Profile Area: AI and Digitalization
- EpiHealth: Epidemiology for Health
- LUCC: Lund University Cancer Centre
- eSSENCE: The e-Science Collaboration
- Department of Automatic Control
- publishing date
- 2024-12-03
- type
- Non-textual form
- publication status
- published
- subject
- keywords
- artificial intelligence, deep learning, natural language processing, BioBERT
- publisher
- HuggingFace
- DOI
- 10.57967/hf/3789
- project
- Studying COVID-19 with artificial intelligence
- Lund University AI Research
- Biomedical text mining for systems biology
- The Swedish Centre of Excellence on Impacts of Climate Extremes (Climes)
- language
- English
- LU publication?
- yes
- id
- 52cafdf3-8103-4d51-a3ce-28e7f180f404
- date added to LUP
- 2024-12-13 12:34:51
- date last changed
- 2026-01-15 08:48:56
@misc{52cafdf3-8103-4d51-a3ce-28e7f180f404,
author = {{Aits, Sonja and Ahmed, Rafsan}},
keywords = {{artificial intelligence; deep learning; natural language processing; BioBERT}},
language = {{eng}},
month = {{12}},
publisher = {{HuggingFace}},
title = {{BioBERT_HUNER_v2 models}},
url = {{http://dx.doi.org/10.57967/hf/3789}},
doi = {{10.57967/hf/3789}},
year = {{2024}},
}