---
language: 
- en
bigbio_language: 
- English
license: cc-by-sa-3.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_SA_3p0
pretty_name: AnEM
homepage: http://www.nactem.ac.uk/anatomy/
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks: 
- NAMED_ENTITY_RECOGNITION
- COREFERENCE_RESOLUTION
- RELATION_EXTRACTION
---


# Dataset Card for AnEM

## Dataset Description

- **Homepage:** http://www.nactem.ac.uk/anatomy/
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,COREF,RE


AnEM corpus is a domain- and species-independent resource manually annotated for anatomical
entity mentions using a fine-grained classification system. The corpus consists of 500 documents
(over 90,000 words) selected randomly from citation abstracts and full-text papers with
the aim of making the corpus representative of the entire available biomedical scientific
literature. The corpus annotation covers mentions of both healthy and pathological anatomical
entities and contains over 3,000 annotated mentions.



## Citation Information

```
@inproceedings{ohta-etal-2012-open,
  author    = {Ohta, Tomoko and Pyysalo, Sampo and Tsujii, Jun{'}ichi and Ananiadou, Sophia},
  title     = {Open-domain Anatomical Entity Mention Detection},
  journal   = {},
  volume    = {W12-43},
  year      = {2012},
  url       = {https://aclanthology.org/W12-4304},
  doi       = {},
  biburl    = {},
  bibsource = {},
  publisher = {Association for Computational Linguistics}
}

```