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Detecting semantic errors in text using ontology-based extraction rules
Detecting semantic errors in text using ontology-based extraction rules
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机译:使用基于本体的提取规则检测文本中的语义错误
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摘要
Semantic errors in a natural language text document are automatically detected by matching sentences in the document with stored ontology-based extraction rules that express both logically correct and logically incorrect relationships between the classes and properties of an ontology for a predefined knowledge domain of relevance to the natural language text document. The matching identifies logically correct and incorrect statements in the document which may be used for various applications such as automatic grading.
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