Enacting textual entailment and ontologies for automated essay grading in chemical domain
Abstract
We propose a system for automated essay grading using ontologies and textual entailment. The process of textual entailment is guided by hypotheses, which are extracted from a domain ontology. Textual entailment checks if the truth of the hypothesis follows from a given text. We enact textual entailment to compare students answer to a model answer obtained from ontology. We validated the solution against various essays written by students in the chemistry domain.
Full citation
"Enacting textual entailment and ontologies for automated essay grading in chemical domain", Groza, Adrian and Roxana, Szabo, 16th Int. Symposium on Computational Intelligence and Informatics (CINTI '15), Budapest, Hungary, 19-21 November pp. 221-226, DOI: 10.1109/CINTI.2015.7382926, ISBN: 978-1-4673-8520-6, 2015.