A hybrid strategy to extract metadata from scholarly articles by utilizing support vector machine and heuristics

Author:

Waqas MuhammadORCID,Anjum Nadeem,Afzal Muhammad Tanvir

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Science Applications,General Social Sciences

Reference28 articles.

1. Ahmed, M. W., & Afzal, M. T. (2020). FLAG-PDFe: Features oriented metadata extraction framework for scientific publications. IEEE Access, 8, 99458–99469.

2. Berg, Ø. R., Oepen, S., & Read, J. (2012). Towards high-quality text stream extraction from pdf: Technical background to the acl 2012 contributed task. In Proceedings of the ACL-2012 special workshop on rediscovering 50 years of discoveries (pp. 98–103). Association for Computational Linguistics.

3. Böschen, I. (2021). Software review: The jatsdecoder package–extract metadata, abstract and sectioned text from niso-jats coded xml documents; insights to pubmed central’s open access database. Scientometrics, 126(12), 9585–9601.

4. Constantin, A., Pettifer, S., & Voronkov, A. (2013). Pdfx: Fully-automated pdf-to-xml conversion of scientific literature. In Proceedings of the 2013 ACM symposium on document engineering (pp. 177–180). ACM.

5. Councill, I. G., Giles, C. L., & Kan, M.-Y. (2008). Parscit: An open-source crf reference string parsing package. LREC, 8, 661–667.

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