bigbio/coneco

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The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at 4eacfe5
Licence files: No licence file at the top level of the repositoryEvidence: file list at 4eacfe5
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Citation text from the card

@article{10.1093/bioadv/vbae116,
    author = {Nastou, Katerina and Koutrouli, Mikaela and Pyysalo, Sampo and Jensen, Lars Juhl},
    title = "{CoNECo: A Corpus for Named Entity Recognition and Normalization of Protein Complexes}",
    journal = {Bioinformatics Advances},
    pages = {vbae116},
    year = {2024},
    month = {08},
    abstract = "{Despite significant progress in biomedical information extraction, there is a lack of resources \
for Named Entity Recognition (NER) and Normalization (NEN) of protein-containing complexes. Current resources \
inadequately address the recognition of protein-containing complex names across different organisms, underscoring \
the crucial need for a dedicated corpus.We introduce the Complex Named Entity Corpus (CoNECo), an annotated \
corpus for NER and NEN of complexes. CoNECo comprises 1,621 documents with 2,052 entities, 1,976 of which are \
normalized to Gene Ontology. We divided the corpus into training, development, and test sets and trained both a \
transformer-based and dictionary-based tagger on them. Evaluation on the test set demonstrated robust performance, \
with F-scores of 73.7\\% and 61.2\\%, respectively. Subsequently, we applied the best taggers for comprehensive \
tagging of the entire openly accessible biomedical literature.All resources, including the annotated corpus, \
training data, and code, are available to the community through Zenodo https://zenodo.org/records/11263147 and \
GitHub https://zenodo.org/records

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dataset_licence({ "id": "bigbio/coneco" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0