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gabrielaltay commited on
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upload hub_repos/cellfinder/README.md to hub from bigbio repo

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  - **Homepage:** https://www.informatik.hu-berlin.de/de/forschung/gebiete/wbi/resources/cellfinder/
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  - **Pubmed:** True
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  - **Public:** True
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- - **Tasks:** Named Entity Recognition
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  The CellFinder project aims to create a stem cell data repository by linking information from existing public databases and by performing text mining on the research literature. The first version of the corpus is composed of 10 full text documents containing more than 2,100 sentences, 65,000 tokens and 5,200 annotations for entities. The corpus has been annotated with six types of entities (anatomical parts, cell components, cell lines, cell types, genes/protein and species) with an overall inter-annotator agreement around 80%.
 
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  - **Homepage:** https://www.informatik.hu-berlin.de/de/forschung/gebiete/wbi/resources/cellfinder/
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  - **Pubmed:** True
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  - **Public:** True
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+ - **Tasks:** NER
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  The CellFinder project aims to create a stem cell data repository by linking information from existing public databases and by performing text mining on the research literature. The first version of the corpus is composed of 10 full text documents containing more than 2,100 sentences, 65,000 tokens and 5,200 annotations for entities. The corpus has been annotated with six types of entities (anatomical parts, cell components, cell lines, cell types, genes/protein and species) with an overall inter-annotator agreement around 80%.