---
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."
altloc:
- http://www-leibniz.imag.fr/~blemaire/cogsci05.pdf
chapter: ~
commentary: ~
commref: ~
confdates: July 2005
conference: 27th Annual Meeting of the Cognitive Science Society
confloc: 'Stresa, Italy'
contact_email: ~
creators_id: []
creators_name:
- family: Lemaire
given: Benoit
honourific: ''
lineage: ''
- family: Mandin
given: Sonia
honourific: ''
lineage: ''
- family: Dessus
given: Philippe
honourific: ''
lineage: ''
- family: Denhière
given: Guy
honourific: ''
lineage: ''
date: 2005
date_type: published
datestamp: 2005-09-18
department: ~
dir: disk0/00/00/45/36
edit_lock_since: ~
edit_lock_until: ~
edit_lock_user: ~
editors_id: []
editors_name:
- family: Bara
given: Bruno
honourific: ''
lineage: ''
- family: Barsalou
given: Lawrence
honourific: ''
lineage: ''
- family: Bucciarelli
given: Monica
honourific: ''
lineage: ''
eprint_status: archive
eprintid: 4536
fileinfo: /style/images/fileicons/application_pdf.png;/4536/1/cogsci05.pdf
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'summarization, macrorules, cognitive modeling, computer environment, latent semantic analysis'
lastmod: 2011-03-11 08:56:10
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 1266-1271
pubdom: FALSE
publication: ~
publisher: ~
refereed: TRUE
referencetext: |-
Barzilay, R., & Elhadad, M. (1997). Using lexical chains for text summarization. Proc. ISTS'97, Madrid.
Baxendale, P. B. (1958). Machine-made index for technical literature – An experiment. IBM J. Res. Dev., 2, 354-365.
Brown, A. L., & Day, J. D. (1983). Macrorules for summarizing texts: The development of expertise. Journal of Verbal Learning and Verbal Behavior, 22, 1-14.
Casazza, M. E. (1993). Using a model of direct instruction to teach summary writing in a college reading class. Journal of Reading, 37, 202-208.
Denhière, G., & Lemaire, B. (2004). A Computational Model of Children's Semantic Memory, in Proceedings of the 26th Annual Meeting of the Cognitive Science Society (CogSci'2004), 297-302.
Foltz, P. W., Kintsch, W., & Landauer, T. K. (1998). The measurement of textual coherence with Latent Semantic Analysis. Discourse Processes, 25, 285-307.
Garner, R. (1987). Metacognition and Reading Comprehension. Norwood: Ablex.
Halpin, H., Moore, J. D., & Robertson, J. (2004). Automatic analysis of plot for story rewriting. Proc. EMNLP 2004. Barcelona, Spain.
Hidi, S., & Anderson, V. (1986). Producing written summaries: Tasks demands, cognitive operations, and implications for instruction. Review of Educational Research, 56, 473-493.
Kintsch, W. (1998). Comprehension, a Paradigm for Cognition. Cambridge: Cambridge University Press.
Kintsch, W. (2002). On the notions of theme and topic in psychological process models of text comprehension. In M. Louwerse & W. van Peer (Eds.), Thematics: Interdisciplinary Studies (pp. 157-170). Amsterdam: Benjamins.
Kintsch, E., Steinhart, D., Stahl, G., LSA Research Group, Matthews, C., & Lamb, R. (2000). Developing summarization skills through the use of LSA-based feedback. Interactive Learning Environments, 8, 87-109.
Kintsch, W., & van Dijk, T. A. (1978). Toward a model of text comprehension and production. Psychological Review, 85, 363-394.
Landauer, T. K. (2002). On the computational basis of learning and cognition: Arguments from LSA. The Psychology of Learning and Motivation, 41, 43-84.
Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato's problem: the Latent Semantic Analysis theory of acquisition, induction and representation of knowledge. Psychological Review, 104, 211-240.
Pinto Molina, M. (1995). Documentary abstracting : toward a methodological model. Journal of the American Society for Information Science, 46, 225-234.
Thiede, K. W., & Anderson, M. C. M. (2003). Summarizing can improve metacomprehension accuracy. Contemporary Educational Psycholy, 28, 129-160.
Wade-Stein, D., & Kintsch, E. (2004). Summary Street: Interactive computer support for writing. Cognition and Instruction, 22, 333-362.
Williams, J. P., Taylor, M. B., & de Cani, J. S. (1984). Constructing macrostructure for expository text. Journal of Educational Psycholy, 76, 1065-1075.
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 17:00:37
subjects:
- comp-sci-lang
- psy-ling
- cog-psy
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Computational Cognitive Models of Summarization Assessment Skills
type: confpaper
userid: 4300
volume: ~