OCR++: A Robust Framework For Information Extraction from Scholarly Articles

no code implementations • COLING 2016 • Singh Mayank, Barua Barnopriyo, Palod Priyank, Garg Manvi, Satapathy Sidhartha, Bushi Samuel, Ayush Kumar, Rohith Krishna Sai, Gamidi Tulasi, Goyal Pawan, Mukherjee Animesh

This paper proposes OCR++, an open-source framework designed for a variety of information extraction tasks from scholarly articles including metadata (title, author names, affiliation and e-mail), structure (section headings and body text, table and figure headings, URLs and footnotes) and bibliography (citation instances and references).

Optical Character Recognition (OCR)