multilinguality:monolingual language:en license:cc-by-sa-3.0 region:us
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.
@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}
}

---
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}
}

```
