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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, 29 (4)
Artikel, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2003
Autor(en): Miller, Tristan
Art des Eintrags: Bibliographie
Titel: Essay Assessment with Latent Semantic Analysis
Sprache: Englisch
Publikationsjahr: 2003
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Journal of Educational Computing Research
Jahrgang/Volume einer Zeitschrift: 29
(Heft-)Nummer: 4
URL / URN: https://dx.doi.org/10.2190/W5AR-DYPW-40KX-FL99
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Kurzbeschreibung (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.

ID-Nummer: TUD-CS-2003-0016
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung
Hinterlegungsdatum: 31 Dez 2016 14:29
Letzte Änderung: 23 Aug 2018 11:57
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