CoNECo: a Corpus for Named Entity recognition and normalization of protein Complexes.

ABSTRACT:

Motivation

Despite significant progress in biomedical information extraction, there is a lack of resources for Named Entity Recognition (NER) and Named Entity 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.

Results

We introduce the Complex Named Entity Corpus (CoNECo), an annotated corpus for NER and NEN of complexes. CoNECo comprises 1621 documents with 2052 entities, 1976 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 per

SUBMITTER: Nastou K 

PROVIDER: S-EPMC11474106 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature