Publisher:SCIENCE & INFORMATION SAI ORGANIZATION LTD
Series Info:INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS;Volume: 3 Issue: 11 Pages: 115-121
Type:Article
Keywords:October University for University for Corpus-Based Simiarity
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String Similarity
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Semantic Similarity
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Short Answer Grading
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Automatic Scoring
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.