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

Dominika Tkaczyk, Andrew Collins, Paraic Sheridan, Jöran Beel. Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers. In Jiangping Chen, Marcos André Gonçalves, Jeff M. Allen, Edward A. Fox, Min-Yen Kan, Vivien Petras, editors, Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, JCDL 2018, Fort Worth, TX, USA, June 03-07, 2018. pages 99-108, ACM, 2018. [doi]

@inproceedings{TkaczykCSB18,
  title = {Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers},
  author = {Dominika Tkaczyk and Andrew Collins and Paraic Sheridan and Jöran Beel},
  year = {2018},
  doi = {10.1145/3197026.3197048},
  url = {http://doi.acm.org/10.1145/3197026.3197048},
  researchr = {https://researchr.org/publication/TkaczykCSB18},
  cites = {0},
  citedby = {0},
  pages = {99-108},
  booktitle = {Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, JCDL 2018, Fort Worth, TX, USA, June 03-07, 2018},
  editor = {Jiangping Chen and Marcos André Gonçalves and Jeff M. Allen and Edward A. Fox and Min-Yen Kan and Vivien Petras},
  publisher = {ACM},
}