Hybrid medical named entity recognition using document structure and surrounding context
MY Landolsi, L Ben Romdhane, L Hlaoua - The Journal of …, 2024 - Springer
Nowadays, there is a huge amount of electronic medical documents created in natural
language by medical specialists, containing useful information needed for several medical …
language by medical specialists, containing useful information needed for several medical …
Biomedical-named entity recognition using CUDA accelerated KNN algorithm
M Bali, AS Pichandi… - … Electronics and Control), 2023 - telkomnika.uad.ac.id
Biomedical named entity recognition (Bio-NER) is a highly complex and time-consuming
research domain using natural language processing (NLP). It's widely used in information …
research domain using natural language processing (NLP). It's widely used in information …
CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources
In the last decades, a great amount of work has been done in predictive modeling of issues
related to human and environmental health. Resolution of issues related to healthcare is …
related to human and environmental health. Resolution of issues related to healthcare is …
[PDF][PDF] CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources
P Korošec, E Cavalli, BK ́c Seljak, T Eftimov - 2022 - pdfs.semanticscholar.org
In the last decades, a great amount of work has been done in predictive modeling of issues
related to human and environmental health. Resolution of issues related to healthcare is …
related to human and environmental health. Resolution of issues related to healthcare is …