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Title:
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AN ACTIVE ASSESSMENT METHOD OF CHINESE TEXT SUBJECTIVE QUESTION BASED ON CONCEPTUAL SEMANTIC WEB AND STATEMENT SIMILARITY |
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Author(s):
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HongJun Zhang, Zhi Gang Wu |
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ISBN:
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978-972-8939-55-7 |
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Editors:
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Piet Kommers, Ji-ping Zhang, Tomayess Issa and Pedro Isaías |
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Year:
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2011 |
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Edition:
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Single |
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Keywords:
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Automatic Assessment , Subjective Question, Statement Similarity, Conceptual Semantic Web |
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Type:
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Full Paper |
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First Page:
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135 |
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Last Page:
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142 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Similarity results of chinese text subjective question and the calculation of semantic network topology matching are the key issues in automatically correcting process in computer examination. This thesis gives a method to analyze the characteristics and effective processes of the text subjective questions and the computer automatically correcting, combines the semantic network model based on set theory and the similarity calculation algorithm, proposes the combination of Hownet and disciplines to expand knowledge of the standard answer, and pre-assesses the candidates answers in light of score points. The method then uses set-based model of semantic network topology matching degree and similarity statement, bases on the similarity and matching extent between the candidates answer and the standard answer, and combines the expert or teacher's manual intervention to adjust the final calculated score results. In practice, the method has the advantage of high efficiency and accuracy. |
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