Automatic Scoring Algorithm of Chinese Subjective Questions Based on Domain Ontology and Sentence Framework

Hong Chao Chen; Jin Jin Wang; Xin Hua Zhu

doi:10.4028/www.scientific.net/AMM.373-375.1780

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 373-375Automatic Scoring Algorithm of Chinese Subjective...

Automatic Scoring Algorithm of Chinese Subjective Questions Based on Domain Ontology and Sentence Framework

Abstract:

This paper constructs domain ontology for Data Structure Course and standard (student) answer sentence framework, then proposes a new approach to automatic marking Chinese subjective questions based on them. This method deals with the standard (student) answer in word segmentation, part-of-speech tagging, pronouns digestion, extracting framework, calculating word similarity. Compared with the traditional ones, this means allows the computer to understand the semantic information as much as possible, keeps the semantic relations between standard answer and the students, improves scoring accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 373-375)

Pages:

1780-1783

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.373-375.1780

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Online since:

August 2013

Authors:

Hong Chao Chen, Jin Jin Wang, Xin Hua Zhu

Keywords:

Domain Ontology, Natural Language Processing, Sentence Framework, Subjective Questions, Word Segmentation

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