Locating and parsing bibliographic references in HTML medical articles.

International Journal on Document Analysis and Recognition : IJDAR
Jie ZouGeorge R Thoma

Abstract

The set of references that typically appear toward the end of journal articles is sometimes, though not always, a field in bibliographic (citation) databases. But even if references do not constitute such a field, they can be useful as a preprocessing step in the automated extraction of other bibliographic data from articles, as well as in computer-assisted indexing of articles. Automation in data extraction and indexing to minimize human labor is key to the affordable creation and maintenance of large bibliographic databases. Extracting the components of references, such as author names, article title, journal name, publication date and other entities, is therefore a valuable and sometimes necessary task. This paper describes a two-step process using statistical machine learning algorithms, to first locate the references in HTML medical articles and then to parse them. Reference locating identifies the reference section in an article and then decomposes it into individual references. We formulate this step as a two-class classification problem based on text and geometric features. An evaluation conducted on 500 articles drawn from 100 medical journals achieves near-perfect precision and recall rates for locating references. Re...Continue Reading

References

Jul 22, 2006·IEEE Transactions on Neural Networks·Pai-Hsuen ChenChih-Jen Lin

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Citations

Jun 17, 2011·BMC Bioinformatics·Xiaoli ZhangGeorge R Thoma
Dec 15, 2015·Source Code for Biology and Medicine·Elliot J Yates, Louise C Dixon
Aug 19, 2010·American Journal of Physical Anthropology·Marie-France DeguillouxLuc Laporte
Sep 3, 2010·Journal of Cheminformatics·Barry HardySylvia Escher
May 15, 2018·Therapeutic Innovation & Regulatory Science·Reza MasaeliLobat Tayebi
May 31, 2018··Joeran BeelAndrew Collins
Oct 2, 2018··Daniel LeAlastair R. Rae

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