Computerized summary scoring: crowdsourcing-based latent semantic analysis
Abstract
In this study we developed and evaluated a crowdsourcing-based latent semantic analysis (LSA) approach to computerized summary scoring (CSS). LSA is a frequently used mathematical component in CSS, where LSA similarity represents the extent to which the to-be-graded target summary is similar to a model summary or a set of exemplar summaries. Researchers have proposed different formulations of the model summary in previous studies, such as...
Paper Details
Title
Computerized summary scoring: crowdsourcing-based latent semantic analysis
Published Date
Nov 3, 2017
Journal
Volume
50
Issue
5
Pages
2144 - 2161
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