BibTeX
@MISC{Miller03essayassessment,
author = {Tristan Miller},
title = {Essay Assessment with Latent Semantic Analysis},
year = {2003}
}
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
Latent semantic analysis (LSA) is an automated, statistical technique for comparing the semantic similarity of words or documents. In this paper, 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 avenues of research, including LSA's application to computer-measured readability assessment and to automatic summarization of student essays.
