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Essay Assessment with Latent Semantic Analysis

Miller, Tristan (2003):
Essay Assessment with Latent Semantic Analysis.
In: Journal of Educational Computing Research, pp. 495-512, 29, (4), ISSN 0735-6331,
[Online-Edition: https://dx.doi.org/10.2190/W5AR-DYPW-40KX-FL99],
[Article]

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.

Item Type: Article
Erschienen: 2003
Creators: Miller, Tristan
Title: Essay Assessment with Latent Semantic Analysis
Language: English
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.

Journal or Publication Title: Journal of Educational Computing Research
Volume: 29
Number: 4
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Date Deposited: 31 Dec 2016 14:29
Official URL: https://dx.doi.org/10.2190/W5AR-DYPW-40KX-FL99
Identification Number: TUD-CS-2003-0016
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