DocumentCode
1844613
Title
Research of Fuzzy Theory in Subjective Human Reviewers
Author
Min Chen ; Ruogu Luo
Author_Institution
Dept. of Comput. Sci. & Technol., Hunan Inst. of Technol., Hengyang, China
fYear
2013
fDate
21-23 June 2013
Firstpage
799
Lastpage
801
Abstract
As the key technology improving in network education system, fuzzy theory which applies in the subjective automatic grading technology increasingly gains much attention. At present, natural language automatic scoring system has not yet appeared and the existing systems which are closely correlated with the development of natural language processing technology and with its application level in automatic correction system are designed and developed for specific domains and special needs. Therefore, we should pay close attention to the newest development of natural language processing technology and make the most use of the automatic calibration system. This paper introduces the single similar degree of fuzzy mathematics to describe the score of similar degree in subjective questions and initially achieve a dynamic adjustable automatic scoring algorithm.
Keywords
fuzzy set theory; language translation; natural language processing; automatic calibration system; automatic correction system; fuzzy mathematics; fuzzy theory; natural language automatic scoring system; natural language processing technology; network education system; subjective automatic grading technology; subjective human reviewers; Algorithm design and analysis; Computers; Education; Heuristic algorithms; Magnetic heads; Natural languages; Standards; Automatic marking; Fuzzy theory; Online examination;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location
Shiyang
Type
conf
DOI
10.1109/ICCIS.2013.214
Filename
6643130
Link To Document