JTIS: enhancing biomedical document-level relation extraction through joint training with intermediate steps. [PDF]
Database (Oxford)Li J +5 more
europepmc +1 more source
GLiNER-BioMed: a suite of efficient models for open biomedical named entity recognition. [PDF]
BioinformaticsYazdani A, Stepanov I, Teodoro D.
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A study of deep active learning methods to reduce labelling efforts in biomedical relation extraction. [PDF]
PLoS One, 2023 Nachtegael C, De Stefani J, Lenaerts T.
europepmc +1 more source
BioGSF: a graph-driven semantic feature integration framework for biomedical relation extraction. [PDF]
Brief BioinformYang Y, Zheng Z, Xu Y, Wei H, Yan W.
europepmc +1 more source
The New Version of the ANDDigest Tool with Improved AI-Based Short Names Recognition. [PDF]
Int J Mol Sci, 2022 Ivanisenko TV +3 more
europepmc +1 more source
A survey and evaluation of bior wavelet based compression techniques
International Journal of ADVANCED AND APPLIED SCIENCES, 2017 openaire +1 more source
A pretrained biomedical large language model for Persian biomedical text mining. [PDF]
Sci RepMerzah BM +6 more
europepmc +1 more source
Biomedical relation extraction with knowledge base-refined weak supervision. [PDF]
Database (Oxford), 2023 Yoon W +5 more
europepmc +1 more source
BioTriplex: a full-text annotated corpus for fine-tuning language models in gene-disease relation extraction tasks. [PDF]
BioinformaticsCollins C +6 more
europepmc +1 more source
D2.2 public summary: BIORING's building blocks development (2nd report)
This is the public summary of project's deliverable 2.2, and presents the final report on BIORING’s building blocks (lignin polyols) development.
openaire +2 more sources