DocumentCode :
3034371
Title :
Research on feature selection in automated writing assessment system
Author :
Li, Chao ; Tan, Yongmei ; Wang, Mingtao ; Zhong, Yixin
Author_Institution :
Center for Intell. Sci. & Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
5495
Lastpage :
5498
Abstract :
Automated writing assessment system which uses artificial intelligence to evaluate essays and generate feedback. We designed and developed an automated writing assessment system Not only words and phrases but also dependency triples are used to evaluate the content of the essays from long distance. Users can learn English from the feedbacks given by our system because it gives a detailed explanation of errors. Currently College English Test (CET) has been accepted by society and used as one of the assessment in employment. We did a lot of feature selection experiments on the official CET data and found 26 feature types were contributed to essays assessing. Experimental results provided our method was prominent.
Keywords :
artificial intelligence; computer aided instruction; feature extraction; feedback; natural language processing; rewriting systems; CET; College English Test; artificial intelligence; automated writing assessment system; essays assessing; feature selection; feedback; Artificial intelligence; Educational institutions; Linear regression; Logistics; Telecommunications; Writing; Statistical Product and Service Solutions; feature selection; writing assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
Type :
conf
DOI :
10.1109/ICMT.2011.6002289
Filename :
6002289
Link To Document :
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