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Computational Cognitive Models of Summarization Assessment Skills

Lemaire, Benoit and Mandin, Sonia and Dessus, Philippe and Denhière, Guy (2005) Computational Cognitive Models of Summarization Assessment Skills. [Conference Paper]

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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.

Item Type:Conference Paper
Keywords:summarization, macrorules, cognitive modeling, computer environment, latent semantic analysis
Subjects:Computer Science > Language
Psychology > Psycholinguistics
Psychology > Cognitive Psychology
ID Code:4536
Deposited By:Lemaire, Benoit
Deposited On:18 Sep 2005
Last Modified:12 Sep 2007 18:00

References in Article

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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.

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