Coherence-Based Automatic Essay Assessment

Diego Palma, John Atkinson

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

8 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Número de artículo8506398
Páginas (desde-hasta)26-36
Número de páginas11
PublicaciónIEEE Intelligent Systems
Volumen33
N.º5
DOI
EstadoPublicada - 1 sep. 2018
Publicado de forma externa

Huella

Profundice en los temas de investigación de 'Coherence-Based Automatic Essay Assessment'. En conjunto forman una huella única.

Citar esto