IEEE - Institute of Electrical and Electronics Engineers, Inc. - Automatic Detection of Pseudocodes in Scholarly Documents Using Machine Learning

2013 12th International Conference on Document Analysis and Recognition (ICDAR)

Author(s): Suppawong Tuarob ; Sumit Bhatia ; Prasenjit Mitra ; C. Lee Giles
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2013
Conference Location: Washington, DC, USA
Conference Date: 25 August 2013
Page(s): 738 - 742
ISBN (Electronic): 978-0-7695-4999-6
ISSN (Paper): 1520-5363
DOI: 10.1109/ICDAR.2013.151
Regular:

A significant number of scholarly articles in computer science and other disciplines contain algorithms that provide concise descriptions for solving a wide variety of computational problems. For... View More

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