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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: other |
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bigbio_license_shortname: UNKNOWN |
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multilinguality: monolingual |
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pretty_name: Bio-ID |
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homepage: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vi/track-1/ |
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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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- NAMED_ENTITY_DISAMBIGUATION |
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--- |
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# Dataset Card for Bio-ID |
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## Dataset Description |
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- **Homepage:** https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vi/track-1/ |
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- **Pubmed:** True |
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- **Public:** True |
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- **Tasks:** NER,NED |
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The Bio-ID track focuses on entity tagging and ID assignment to selected bioentity types. |
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The task is to annotate text from figure legends with the entity types and IDs for taxon (organism), gene, protein, miRNA, small molecules, |
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cellular components, cell types and cell lines, tissues and organs. The track draws on SourceData annotated figure |
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legends (by panel), in BioC format, and the corresponding full text articles (also BioC format) provided for context. |
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## Citation Information |
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``` |
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@inproceedings{arighi2017bio, |
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title={Bio-ID track overview}, |
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author={Arighi, Cecilia and Hirschman, Lynette and Lemberger, Thomas and Bayer, Samuel and Liechti, Robin and Comeau, Donald and Wu, Cathy}, |
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booktitle={Proc. BioCreative Workshop}, |
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volume={482}, |
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pages={376}, |
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year={2017} |
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} |
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``` |
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