---

language:

• en bigbio_language:
• English license: cc-by-sa-3.0 multilinguality: monolingual bigbio_license_shortname: CC_BY_SA_3p0 pretty_name: AnatEM homepage: http://nactem.ac.uk/anatomytagger/#AnatEM bigbio_pubmed: True bigbio_public: True bigbio_tasks:
• NAMED_ENTITY_RECOGNITION

---

Dataset Card for AnatEM

Dataset Description

• Homepage: http://nactem.ac.uk/anatomytagger/#AnatEM
• Pubmed: True
• Public: True
• Tasks: NER

The extended Anatomical Entity Mention corpus (AnatEM) consists of 1212 documents (approx. 250,000 words) manually annotated to identify over 13,000 mentions of anatomical entities. Each annotation is assigned one of 12 granularity-based types such as Cellular component, Tissue and Organ, defined with reference to the Common Anatomy Reference Ontology.

Citation Information

@article{pyysalo2014anatomical,
  title={Anatomical entity mention recognition at literature scale},
  author={Pyysalo, Sampo and Ananiadou, Sophia},
  journal={Bioinformatics},
  volume={30},
  number={6},
  pages={868--875},
  year={2014},
  publisher={Oxford University Press}
}