OpenMethods introduction to: An end-to-end approach for extracting and segmenting high-variance references from pdf documents
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- handle: 10670/1.rh0mow
- https://openmethods.dariah.eu/2020/11/09/an-end-to-end-approach-for-extracting-and-segmenting-high-variance-references-from-pdf-documents-proceedings-of-the-18th-joint-conference-on-digital-libraries/
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Research Activities Text Bearing Objects Computer-related introductions in 1993 Vector graphics Content Analysis Graphics file formats ISO standards Text Open formats Electronic documents Digital press Metadata Research Results Bibliographic Listings Office document file formats Research Objects Page description languages Social sciences Analysis Digital HumanitiesSujets proches
Scientific research Science research Science--Research Documents Documents, Legal Documents Public documents Official publications Government documents Documents Documents Indentures Documents Charters--Law and legislation Documents Manuscript repositories Manuscript depositories Manuscripts--Repositories Manuscripts--Depositories Methods of analysis Analysis and chemistry Analytical methods Chemical analysis Analysis methods Analysis and examinationCiter ce document
Stefan Karcher, « OpenMethods introduction to: An end-to-end approach for extracting and segmenting high-variance references from pdf documents », OpenMethods: Highlighting Digital Humanities Methods and Tools, ID : 10670/1.rh0mow
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Résumé
Introduction: Digital text analysis depends on one important thing: text that can be processed with little effort. Working with PDFs often leads to great difficulties, as Zeyd Boukhers Shriharsh Ambhore and Steffen Staab describe in their paper. Their goal is to extract references from PDF documents. Highlight of their described workflow are very impressive precision rates. The paper thereby encourages to a further development of the process and its application as a "method" in the humanities.