Ramezani M, Kalivarapu V, Gilbert SB, Huffman S, Cotos E, O'Conner A. Rapid Tagging and Reporting for Functional Language Extraction in Scientific Articles. WOSP 2017: Proceedings of the 6th International Workshop on Mining Scientific Publications. 2017; Pages 34-39. https://doi.org/10.1145/3127526.3127533
Summary: This paper presents the development of a web-based tool for rapid tagging and annotation of scientific articles to support the creation of machine learning datasets for Automated Functional Language Extraction (AFLEX). The tool allows users to upload PDF or text documents, tag sections with customizable, discipline-specific labels, and export the results in CSV or JSON formats. It features an integrated back-end database for comparison between users and visual result display in a web browser. The AFLEX Tag Tool stands out for its flexibility and cloud-based design, making it suitable for various disciplines, particularly in systematic review processes.
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