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 :
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