Enacting textual entailment and ontologies for automated essay grading in chemical domain
arXiv:1511.02669v15 citations
Originality Synthesis-oriented
AI Analysis
This is an incremental improvement for automated grading in the chemical education domain.
The authors tackled automated essay grading in chemistry by using ontologies and textual entailment to compare student answers to model answers, validating the system with student essays.
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.