Abstract: CERMINE is a comprehensive open source system for extracting structured metadata from scientific articles in a born-digital form. Among other information, CERMINE is able to extract authors and affiliations of a given publication, establish relations between them and present extracted metadata in a structured, machine-readable form. Affiliations extraction is based on a modular workflow and utilizes supervised machine learning as well as heuristic-based techniques. According to the evaluation we performed, the algorithm achieved good results bo...
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Topics: 
Information retrieval