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CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for Named Entity Recognition and Relation Extraction
March 25, 2024, 4:47 a.m. | Neda Foroutan, Markus Schr\"oder, Andreas Dengel
cs.CL updates on arXiv.org arxiv.org
Abstract: The process of cyber mapping gives insights in relationships among financial entities and service providers. Centered around the outsourcing practices of companies within fund prospectuses in Germany, we introduce a dataset specifically designed for named entity recognition and relation extraction tasks. The labeling process on 948 sentences was carried out by three experts which yields to 5,969 annotations for four entity types (Outsourcing, Company, Location and Software) and 4,102 relation annotations (Outsourcing-Company, Company-Location). State-of-the-art deep …
arxiv cs.cl dataset extraction fun fund german outsourcing recognition type
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