A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is
Although automatic text grading systems have reached an accuracy level comparable to human grading, with successful commercial and research implementations (e.g., Latent Semantic Analysis), these systems can provide limited feedback about which statements of the text are incorrect and why they are incorrect. In the present work, we propose the use of a hybrid Ontology-based Information Extraction (OBIE) system to identify both correct and incorrect statements by combining extraction rules anddoi:10.1109/icmla.2013.73 dblp:conf/icmla/GutierrezDMFZ13 fatcat:vxbrdjnh6fesvests6wtl4p26y