Using Latent Semantic Analysis to Grade Brief Summaries: 2

  title={Using Latent Semantic Analysis to Grade Brief Summaries: 2},
  author={Ricardo Olmos and Jos{\'e} Antonio Le{\'o}n and Guillermo Jorge-Botana},
A study exploring texts at different academic levels. Abstract 26 27 In this study we propose an integrated method to automatically evaluate very brief 28 summaries (around 50 words) using the computational tool Latent Semantic Analysis 29 (LSA). The method proposed is based on a regression equation calculated with a corpus 30 of a hundred summaries (the training sample), and is validated on a different sample of 31 summaries (validation sample). The equation incorporates two parameters… CONTINUE READING


Publications citing this paper.


Publications referenced by this paper.
Showing 1-10 of 32 references

Autotutor: A tutor with dialogue in natural language. Behaviour

M M.
View 4 Excerpts
Highly Influenced

The Intelligent Essay Assessor

P. W. Foltz, D. Laham, T. K. Landauer
View 4 Excerpts
Highly Influenced

Introduction to Latent Semantic 854 Analysis

T. K. Landauer, P. W. Foltz, D. Laham
Discourse Processes • 1998
View 4 Excerpts
Highly Influenced

EssayAid: Towards a Semi-automatic System

T. Kakkonen, E. Sutinen

Automated essay scoring using Generalized Latent Semantic Analysis

2010 13th International Conference on Computer and Information Technology (ICCIT) • 2010
View 1 Excerpt

Applying latent semantic analysis to computer assisted assessment

D. Haley
View 2 Excerpts

Similar Papers

Loading similar papers…