Loading [a11y]/accessibility-menu.js
Coherence-Based Automatic Essay Assessment | IEEE Journals & Magazine | IEEE Xplore
Scheduled Maintenance: On Tuesday, 25 February, IEEE Xplore will undergo scheduled maintenance from 1:00-5:00 PM ET (1800-2200 UTC). During this time, there may be intermittent impact on performance. We apologize for any inconvenience.

Coherence-Based Automatic Essay Assessment


Abstract:

In this paper, a discourse-based method that merges semantic and syntactic models for automated essay assessment is proposed. The approach combines shallow linguistic fea...Show More

Abstract:

In this paper, a discourse-based method that merges semantic and syntactic models for automated essay assessment is proposed. The approach combines shallow linguistic features and discourse patterns in order to predict an essay's score by using decision trees regression techniques. Unlike current approaches, our method directly measures an essay coherence by using corpus-based semantics and text centering techniques so as to determine discourse patterns underlying high-quality essays when compared with human assessed essays. Experiments using standard datasets showed that the proposed discourse-based approach outperformed traditional shallow features-based methods.
Published in: IEEE Intelligent Systems ( Volume: 33, Issue: 5, 01 Sept.-Oct. 2018)
Page(s): 26 - 36
Date of Publication: 24 October 2018

ISSN Information:

Funding Agency:


References

References is not available for this document.