A review of an information extraction technique approach for automatic short answer grading

Abstract

The requirement for automatic short answer grading (ASAG) system brings researchers to discover more knowledge about this field. Many techniques have been developed to reach the highest accuration. It can be processed by following stages: creating data set, pre-processing, model building, grading, and model evaluation. One of the techniques which commonly used is information extraction technique. Information extraction is a technique that employing finding fact on the student answers as patterns and then matches these to the teacher answer. The accuration is pointed out in computer and human raters agreement. The goal of this paper is to present a review of several ASAG research which using information extraction technique. However, this paper does not conclude the best method which can be used for general cases.