publication . Part of book or chapter of book . Article . Conference object . Other literature type . 2018

a comparison of approaches for automated text extraction from scholarly figures

Böschen, Falk; Beck, Tilman; Scherp, Ansgar;
Open Access
  • Published: 02 Jun 2018
  • Publisher: Springer International Publishing
Abstract
Different approaches have been proposed in the past to address the challenge of extracting text from scholarly figures. However, until recently, no comparative evaluation of the different approaches had been conducted. Thus, we performed an extensive study of the related work and evaluated in total 32 different approaches. In this work, we perform a more detailed comparison of the 7 most relevant approaches described in the literature and extend to 37 systematic linear combinations of methods for extracting text from scholarly figures. Our generic pipeline, consisting of six steps, allows us to freely combine the different possible methods and perform a fair com...
Subjects
free text keywords: Scholarly Figures, Text Extraction, Comparison, Natural language processing, computer.software_genre, computer, Location detection, Artificial intelligence, business.industry, business, Levenshtein distance, Computer science, Media Technology, Computer Networks and Communications, Hardware and Architecture, Software, Linear combination, Computer communication networks, Linear configuration, Data mining, Multimedia information systems, Pattern recognition, Empirical comparison
Related Organizations
Funded by
EC| MOVING
Project
MOVING
Training towards a society of data-savvy information professionals to enable open leadership innovation
  • Funder: European Commission (EC)
  • Project Code: 693092
  • Funding stream: H2020 | RIA
Communities
Digital Humanities and Cultural Heritage
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http://dx.doi.org/10.1007/s110...
Other literature type . 2018
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publication . Part of book or chapter of book . Article . Conference object . Other literature type . 2018

a comparison of approaches for automated text extraction from scholarly figures

Böschen, Falk; Beck, Tilman; Scherp, Ansgar;