The power of normalised word vectors for automatically grading essays

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The power of normalised word vectors for automatically grading essays

Latent Semantic Analysis, when used for automated essay grading, makes use of document word count vectors for scoring the essays against domain knowledge. Words in the domain knowledge documents and essays are counted, and Singular Value Decomposition is undertaken to reduce the dimensions of the se...

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Bibliographic Details
Main Author:	Williams, Robert
Format:	Journal Article
Published:	The Informing Science Institute 2006
Subjects:	Normalised Word Vectors Multiple Regression Analysis Singular Value ecomposition Automated Essay Grading Latent Semantic Analysis AEG Electronic Thesaurus
Online Access:	http://proceedings.informingscience.org/InSITE2006/IISITWill155.pdf http://hdl.handle.net/20.500.11937/46415

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