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  - **Homepage:https://econstor.eu**
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  - **Repository:https://github.com/zbw/Funder-NER**
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- - **Paper:**
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  - **Leaderboard:**
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  - **Point of Contact:**
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  ### Supported Tasks and Leaderboards
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- [More Information Needed]
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  ### Languages
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- [More Information Needed]
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  ## Dataset Structure
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  ### Data Fields
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- [More Information Needed]
 
 
 
 
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  ### Data Splits
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  ### Curation Rationale
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- [More Information Needed]
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  ### Source Data
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  - **Homepage:https://econstor.eu**
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  - **Repository:https://github.com/zbw/Funder-NER**
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+ - **Paper: https://doi.org/10.1007/978-3-031-16802-4_24**
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  - **Leaderboard:**
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  - **Point of Contact:**
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  ### Supported Tasks and Leaderboards
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+ The dataset is for training and testing the automatic recognition of funders as they are acknowledged in scientific papers.
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  ### Languages
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+ English
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  ## Dataset Structure
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  ### Data Fields
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+ "handle: the PID of the OA working paper"
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+ "crossref_doi: the PID of the corresponding publication (article), as registered via CrossRef"
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+ "crossref_phrase: the funder according to CrossRef metadata"
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+ "pdf_phrase: the acknowledgement phrase from the paper"
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+ "funder: Y(es) in case there is at least one funder, N(o) in case there is no funder supporting the work, but OA publishing funding"
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  ### Data Splits
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  ### Curation Rationale
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+ The dataset was manually curated to train the NER recognition based on a QA system.
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  ### Source Data
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