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29 October 2018 Automated assessment of Chinese subjective questions based on sentence semantic similarity
Yang Cui, Fangyu Hu
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Proceedings Volume 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence; 108361I (2018) https://doi.org/10.1117/12.2505997
Event: 2018 International Conference on Image, Video Processing and Artificial Intelligence, 2018, Shanghai, China
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.
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Yang Cui and Fangyu Hu "Automated assessment of Chinese subjective questions based on sentence semantic similarity", Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 108361I (29 October 2018); https://doi.org/10.1117/12.2505997
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KEYWORDS
Principal component analysis
Analytical research
Computer architecture
Computing systems
Neural networks
Standards development
Vector spaces
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