Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers

Understand

Bibliographic reference parsing refers to extracting machine-readable metadata, such as the names of the authors, the title, or journal name, from bibliographic reference strings.

• Many approaches to this problem have been proposed so far, including regular expressions, knowledge bases and supervised machine learning.
• Many open source reference parsers based on various algorithms are also available.
• In this paper, we apply, evaluate and compare ten reference parsing tools in a specific business use case.