BERN2: an advanced neural biomedical named entity recognition and normalization tool. [PDF]
Sung M +6 more
europepmc +1 more source
A prefix and attention map discrimination fusion guided attention for biomedical named entity recognition. [PDF]
Guan Z, Zhou X.
europepmc +1 more source
Biomedical named entity recognition with the combined feature attention and fully-shared multi-task learning. [PDF]
Zhang Z, Chen ALP.
europepmc +1 more source
Augmenting biomedical named entity recognition with general-domain resources
Training a neural network-based biomedical named entity recognition (BioNER) model usually requires extensive and costly human annotations. While several studies have employed multi-task learning with multiple BioNER datasets to reduce human effort, this approach does not consistently yield performance improvements and may introduce label ambiguity in ...
Yu Yin +8 more
openaire +4 more sources
With the rapid growth of biomedical research literature, automatic knowledge extraction and mining have become increasingly important. In the field of biomedical text mining, Named Entity Recognition (NER) and Relationship Extraction (RE) are essential ...
Xiaona Shi +5 more
doaj +1 more source
HunFlair: an easy-to-use tool for state-of-the-art biomedical named entity recognition. [PDF]
Weber L +5 more
europepmc +1 more source
Correction to: HunFlair: an easy-to-use tool for state-of-the-art biomedical named entity recognition. [PDF]
europepmc +1 more source
Biomedical Entity Recognition Using a Small Language Model
This research proposes developing a computationally efficient Small Language Model (SLM) for Biomedical Named Entity Recognition (NER). By fine-tuning a general-domain pretrained SLM (based on selective state space models, SSMs) on specialized ...
Amed Clavería Méndez +3 more
doaj +1 more source
BINER: A low-cost biomedical named entity recognition
Mohsen Asghari +2 more
openaire +1 more source
Learning Representations for Biomedical Named Entity Recognition
Lauriola, Ivano +4 more
openaire +3 more sources

