Essay Assessment with Latent Semantic Analysis

@article{Miller2003EssayAW,
  title={Essay Assessment with Latent Semantic Analysis},
  author={Tristan Miller},
  journal={Journal of Educational Computing Research},
  year={2003},
  volume={29},
  pages={495 - 512}
}
  • Tristan Miller
  • Published 2003
  • Computer Science
  • Journal of Educational Computing Research
  • Latent semantic analysis (LSA) is an automated, statistical technique for comparing the semantic similarity of words or documents. In this article, I examine the application of LSA to automated essay scoring. I compare LSA methods to earlier statistical methods for assessing essay quality, and critically review contemporary essay-scoring systems built on LSA, including the Intelligent Essay Assessor, Summary Street, State the Essence, Apex, and Select-a-Kibitzer. Finally, I discuss current… CONTINUE READING
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