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

fYear

2011

fDate

16-18 Sept. 2011

Firstpage

3027

Lastpage

3030

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Control Engineering (ICECE), 2011 International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4244-8162-0

Type

conf

DOI

10.1109/ICECENG.2011.6057495

Filename

6057495