Computational cognitive models of summarization assessment skills - Archive ouverte HAL Access content directly
Conference Papers Year : 2005

Computational cognitive models of summarization assessment skills

(1) , (2) , (2) , (3)
1
2
3

Abstract

This paper presents a general computational cognitive model of the way a summary is assessed by teachers. It is based on models of two subprocesses: determining the importance of sentences and guessing the cognitive rules that the student may have used. All models are based on Latent Semantic Analysis, a computational model of the representation of the meaning of words and sentences. Models' performances are compared with data from an experiment conducted with 278 middle school students. The general model was implemented in a learning environment designed for helping students to write summaries.
Fichier principal
Vignette du fichier
cogsciFinal.pdf (265.8 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00372181 , version 1 (31-03-2009)

Identifiers

  • HAL Id : hal-00372181 , version 1

Cite

Benoît Lemaire, Sonia Mandin, Philippe Dessus, Guy Denhière. Computational cognitive models of summarization assessment skills. Proceedings of the 27th Annual Meeting of the Cognitive Science Society (CogSci' 2005), 2005, France. pp.1266-1271. ⟨hal-00372181⟩
237 View
173 Download

Share

Gmail Facebook Twitter LinkedIn More