Title :
Features selection of high quality essays in automated essay scoring system
Author :
Wang, Mingtao ; Tan, Yongmei ; Li, Chao
Author_Institution :
Center for Intell. Sci. & Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
In this paper, we analyze some essays of Chinese English learners, and text features such as words, phrases, paragraphs, and chapters. According to the correlation between the scores and these features, we do multiple regression analysis based on the feature recombination and extract the feature sets that high quality essays should be with. In the end, we build a reasonable model to distinguish high quality essays from others and effectively solve the problem of low differentiation scores in automated essay scoring system.
Keywords :
educational computing; feature extraction; natural language processing; regression analysis; Chinese English learners; automated essay scoring system; feature recombination; feature set extraction; features selection; high quality essays; multiple regression analysis; text features; Artificial intelligence; Chaos; Educational institutions; Feature extraction; Information science; Regression analysis; Telecommunications; Automated Essay Scoring; Natural Language Processing; feature selection; regression analysis;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057495
