Short Answer Grading Using String Similarity And Corpus-Based Similarity
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 11
Abstract
Most automatic scoring systems use pattern based that requires a lot of hard and tedious work. These systems work in a supervised manner where predefined patterns and scoring rules are generated. This paper presents a different unsupervised approach which deals with students’ answers holistically using text to text similarity. Different String-based and Corpus-based similarity measures were tested separately and then combined to achieve a maximum correlation value of 0.504. The achieved correlation is the best value achieved for unsupervised approach Bag of Words (BOW) when compared to previous work.
Authors and Affiliations
Wael H Gomaa , Aly A. Fahmy
Keywords
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- EP ID EP103682
- DOI 10.14569/IJACSA.2012.031119
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