DocumentCode :
3694802
Title :
ZETEMA: A web service for automatic short-answer questions grading
Author :
Sergio Mancera;Sergio Jimenez;Fabio A. Gonzalez
Author_Institution :
Department of Systems and Industrial Engineering, Universidad Nacional de Colombia, Bogotá
fYear :
2015
Firstpage :
504
Lastpage :
508
Abstract :
ZETEMA is a prototype of a web service that allows a user to train an automated system for scoring short-answer questions, and use it for scoring new student answers. In addition, the service provides already-trained models based on standard benchmarks such as SciEntsBank and Beetle, used in SemEval 2013 Student Response Analysis challenge. The service is based on the system that obtained the best results in that competition (soft cardinality) and includes some improvements in time, simplifications in the model preserving performance. ZETEMA was developed in Python and can be used via a web interface using XML format for sending, training and testing texts, and also for retrieving result.
Keywords :
"XML","Web services","Semantics","Joints","Electronic learning","Bagging","Accuracy"
Publisher :
ieee
Conference_Titel :
Computing Colombian Conference (10CCC), 2015 10th
Type :
conf
DOI :
10.1109/ColumbianCC.2015.7333458
Filename :
7333458
Link To Document :
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