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Presentation
Rapid Tagging and Reporting for Functional Language Extraction in Scientific Articles
Proceedings of the 6th International Workshop on Mining Scientific Publications (WOSP 2017)
  • Mahdi Ramezani, Iowa State University
  • Vijay K. Kalivarapu, Iowa State University
  • Stephen B Gilbert, Iowa State University
  • Sarah R. Huffman, Iowa State University
  • Elena Cotos, Iowa State University
  • Annette M. O'Connor, Iowa State University
Document Type
Conference Proceeding
Publication Version
Published Version
Publication Date
12-15-2017
DOI
10.1145/3127526.3127533
Conference Title
ICPE ACM/SPEC International Conference on Performance Engineering
Conference Date
December 15, 2017
Geolocation
(43.653226, -79.38318429999998)
Abstract
This paper describes the development of a web-based application for tagging scientific articles, in part to create machine learning training datasets for automated functional language identification and extraction (AFLEX). The initial intent for this work was to provide a new member of the ecosystem of tools that facilitate the structured automation of systematic reviews, an area of work that typically requires critical analysis of multiple research studies and provides an exhaustive summary of literature related to a research question. However, the tool’s modular interface allows use across disciplines. A user may upload PDF or text documents and quickly tag selected parts of the document with a customizable set of discipline-specific tags, and export results to CSV or JSON formats. An integrated back-end database stores tagging data for comparison between taggers or visual display of results on the web browser. While other discipline-specific text tagging tools exist, the authors have not encountered a cloud-based customizable tool for PDF and text annotation as flexible as the AFLEX Tag Tool developed by the authors.
Comments

This proceeding is published as Ramezani, M., V. Kalivarapu, S. B. Gilbert, S. Huffman, E. Cotos, and A. O'Conner. "Rapid Tagging and Reporting for Functional Language Extraction in Scientific Articles." In Proceedings of the 6th International Workshop on Mining Scientific Publications, pp. 34-39. ACM, 2017. doi: 10.1145/3127526.3127533. Posted with permission.

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Copyright Owner
The Authors
Language
en
File Format
application/pdf
Citation Information
Mahdi Ramezani, Vijay K. Kalivarapu, Stephen B Gilbert, Sarah R. Huffman, et al.. "Rapid Tagging and Reporting for Functional Language Extraction in Scientific Articles" Toronto, ON, CanadaProceedings of the 6th International Workshop on Mining Scientific Publications (WOSP 2017) (2017) p. 34 - 39
Available at: http://works.bepress.com/vijay_kalivarapu/18/