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--- |
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language: |
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- en |
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bigbio_language: |
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- English |
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license: cc-by-sa-3.0 |
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multilinguality: monolingual |
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bigbio_license_shortname: CC_BY_SA_3p0 |
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pretty_name: AnEM |
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homepage: http://www.nactem.ac.uk/anatomy/ |
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bigbio_pubmed: True |
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bigbio_public: True |
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bigbio_tasks: |
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- NAMED_ENTITY_RECOGNITION |
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- COREFERENCE_RESOLUTION |
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- RELATION_EXTRACTION |
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--- |
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# Dataset Card for AnEM |
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## Dataset Description |
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- **Homepage:** http://www.nactem.ac.uk/anatomy/ |
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- **Pubmed:** True |
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- **Public:** True |
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- **Tasks:** NER,COREF,RE |
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AnEM corpus is a domain- and species-independent resource manually annotated for anatomical |
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entity mentions using a fine-grained classification system. The corpus consists of 500 documents |
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(over 90,000 words) selected randomly from citation abstracts and full-text papers with |
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the aim of making the corpus representative of the entire available biomedical scientific |
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literature. The corpus annotation covers mentions of both healthy and pathological anatomical |
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entities and contains over 3,000 annotated mentions. |
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## Citation Information |
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``` |
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@inproceedings{ohta-etal-2012-open, |
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author = {Ohta, Tomoko and Pyysalo, Sampo and Tsujii, Jun{'}ichi and Ananiadou, Sophia}, |
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title = {Open-domain Anatomical Entity Mention Detection}, |
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journal = {}, |
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volume = {W12-43}, |
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year = {2012}, |
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url = {https://aclanthology.org/W12-4304}, |
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doi = {}, |
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biburl = {}, |
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bibsource = {}, |
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publisher = {Association for Computational Linguistics} |
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} |
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|
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``` |
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|
