Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

Short Answer Grading Using String Similarity And Corpus-Based Similarity

Author 1: Wael H Gomaa Author 2: Aly A. Fahmy
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 3, No. 11 · Published 2012 · Cited by 58

DOI: https://doi.org/10.14569/IJACSA.2012.031119

Download PDF Cite Call for Papers

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.

Keywords

Automatic Scoring Short Answer Grading Semantic Similarity String Similarity Corpus-Based Similarity.

How to Cite this Article

Gomaa, W. H., & Fahmy, A. A. (2012). Short Answer Grading Using String Similarity And Corpus-Based Similarity. International Journal of Advanced Computer Science and Applications, 3(11). https://doi.org/10.14569/IJACSA.2012.031119

Gomaa, Wael H, and Aly A. Fahmy. "Short Answer Grading Using String Similarity And Corpus-Based Similarity." International Journal of Advanced Computer Science and Applications, vol. 3, no. 11, 2012, https://doi.org/10.14569/IJACSA.2012.031119.

@article{Gomaa2012,
  title     = {Short Answer Grading Using String Similarity And Corpus-Based Similarity},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {3},
  number    = {11},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Wael H Gomaa and Aly A. Fahmy},
  doi       = {10.14569/IJACSA.2012.031119},
  url       = {https://doi.org/10.14569/IJACSA.2012.031119}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJACSA Journal Cover

IJACSA