---

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}
}