Computational cognitive models of summarization assessment skills

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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [19 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00372181
Contributor : Benoît Lemaire <>
Submitted on : Tuesday, March 31, 2009 - 2:57:55 PM
Last modification on : Sunday, December 2, 2018 - 4:56:05 PM
Long-term archiving on : Thursday, June 10, 2010 - 7:24:14 PM

File

cogsciFinal.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00372181, version 1

Collections

IMAG | UNIV-AMU | UGA | LSE | LPC

Citation

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⟩

Share

Metrics

Record views

302

Files downloads

194