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Many solutions have been provided to extract bibliographic references fromPDF papers. Machine learning, rule-based and regular expressions approacheswere among the most used methods adopted in tools for addressing this task.This work aims to identify and evaluate all and only the tools which, given afull-text paper in PDF format, can recognise, extract and parse bibliographicreferences. We identified seven tools: Anystyle, Cermine, ExCite, Grobid,Pdfssa4met, Scholarcy and Science Parse. We compared and evaluated them againsta corpus of 56 PDF articles published in 27 subject areas. Indeed, Anystyleobtained the best overall score, followed by Cermine. However, in some subjectareas, other tools had better results for specific tasks.

Structured references from PDF articles: assessing the tools for bibliographic reference extraction and parsing