GoldHamster Model

Model for text classification based on the GoldHamster corpus. Source code is available.

Model Description

Model pre-trained on PubMedBERT and fine-tuned on the GoldHamster corpus.

Language(s) (NLP): English
License: CC BY 3.0 DE
Finetuned from model: https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract

Model Sources

Repository: https://github.com/mariananeves/goldhamster
Paper: https://europepmc.org/article/ppr/ppr479254

Uses

Model for detecting our eight-label schema: invertebrates, in vivo, human, organs, primary cell lines, immortal cell lines, in silico, others. Predictions are on the document level.

Direct Use

[More Information Needed]

Results

Results are in terms of f-score.

invertebrates	in vivo	human	organs	primary cell lines	immortal cell lines	in silico	others
0.95	0.88	0.86	0.82	0.75	0.83	0.75	0.78

Citation

@misc {PPR:PPR479254,
    Title = {Automatic classification of experimental models in biomedical literature to support searching for alternative methods to animal experiments},
    Author = {Neves, Mariana and Klippert, Antonina and Knöspel, Fanny and Rudeck, Juliane and Stolz, Ailine and Ban, Zsofia and Becker, Markus and Diederich, Kai and Grune, Barbara and Kahnau, Pia and Ohnesorge, Nils and Pucher, Johannes and Schönfelder, Gilbert and Bert, Bettina and Butzke, Daniel},
    DOI = {10.21203/rs.3.rs-1526055/v1},
    Publisher = {Research Square},
    Year = {2022},
    URL = {https://doi.org/10.21203/rs.3.rs-1526055/v1},
}

Contact

Contact: https://mariananeves.github.io/