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Enacting textual entailment and ontologies for automated essay grading in chemical domain
November 09, 2015 Β· Declared Dead Β· π International Symposium on Computational Intelligence and Informatics
"No code URL or promise found in abstract"
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Authors
Adrian Groza, Roxana Szabo
arXiv ID
1511.02669
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CL
Citations
5
Venue
International Symposium on Computational Intelligence and Informatics
Last Checked
4 months ago
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.
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