GLSA based online essay grading system

Anak Agung Putri Ratna, Henry Artajaya, Boma Anantasatya Adhi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Document representation as Generalized Latent Semantic Analysis (GLSA) vectors were claimed to give performance improvement on several task such as synonymy test, document classification, and clustering compared to traditional Latent Semantic Analysis (LSA) based systems, however GLSA performance has never been tested on automated essay grading system. This experiment propose an GLSA based automatic essay grading system design that will be used to examine the effect of GLSA implementation on automated essay grading system and to evaluate its performance compared to LSA based system.

Original languageEnglish
Title of host publicationProceedings of 2013 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2013
Pages358-361
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2013
Event2013 2nd IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2013 - Kuta, Indonesia
Duration: 26 Aug 201329 Aug 2013

Publication series

NameProceedings of 2013 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2013

Conference

Conference2013 2nd IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2013
CountryIndonesia
CityKuta
Period26/08/1329/08/13

Keywords

  • essay grading system
  • GLSA

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