A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents-Reference-Cited by-同舟云学术

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A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents

Published:2023 Issue: Volume: Page:383-405
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Meuschke Norman^ORCID,Jagdale Apurva,Spinde Timo^ORCID,Mitrović Jelena^ORCID,Gipp Bela^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-28032-0_31

Reference56 articles.

1. Ahmed, M.W., Afzal, M.T.: FLAG-PDFe: features oriented metadata extraction framework for scientific publications. IEEE Access 8, 99458–99469 (2020). https://doi.org/10.1109/ACCESS.2020.2997907

2. Aiello, M., Monz, C., Todoran, L., Worring, M.: Document understanding for a broad class of documents. Int. J. Doc. Anal. Recogn. 5(1),1–16 (2002). https://doi.org/10.1007/s10032-002-0080-x

3. Anzaroot, S., Passos, A., Belanger, D., McCallum, A.: Learning soft linear constraints with application to citation field extraction. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 593–602. Association for Computational Linguistics, Baltimore, Maryland (2014). https://doi.org/10.3115/v1/P14-1056

4. Azimjonov, J., Alikhanov, J.: Rule based metadata extraction framework from academic articles. arXiv CoRR 1807.09009v1 [cs.IR], pp. 1–10 (2018). https://doi.org/10.48550/arXiv.1807.09009

5. Lecture Notes in Computer Science;H Bast,2013

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