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Proceedings Paper

Automated assessment of Chinese subjective questions based on sentence semantic similarity
Author(s): Yang Cui; Fangyu Hu
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Paper Abstract

Automated assessment of Chinese subjective questions is a crossed research direction on linguistics, natural language processing (NLP) and related disciplines. In this paper, we focus on correcting political subjective questions, and based on the analysis of the manual scoring process, a novel automatic scoring framework is created. It mainly includes two parts. Firstly, we represent the sentence semantic by an unsupervised model that involves a weighted average of the word vectors. Then, we propose a correction algorithm which combines keywords matching and semantic similarity computation. Comparison between the results made by our framework and the teacher proves reasonableness of the model.

Paper Details

Date Published: 29 October 2018
PDF: 5 pages
Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 108361I (29 October 2018); doi: 10.1117/12.2505997
Show Author Affiliations
Yang Cui, Univ. of Science and Technology of China (China)
Fangyu Hu, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 10836:
2018 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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