Abstract
In the present article, we outline the architecture of a computer program for simulating the process by which humans comprehend texts. The program is based on psycholinguistic theories about human memory and text comprehension processes, such as the construction-integration model (Kintsch, 1998), the latent semantic analysis theory of knowledge representation (Landauer & Dumais, 1997), and the predication algorithms (Kintsch, 2001; Lemaire & Bianco, 2003), and it is intended to help psycholinguists investigate the way humans comprehend texts.
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Baudet, S., &Denhière, G. (1991). Mental models and acquisition of knowledge from text: Representation and acquisition of functional systems. In G. Denhière & J. P. Rossi (Eds.),Text and text processing (Advances in Psychology, Vol. 79, pp. 155–188). Amsterdam: North-Holland.
Bellegarda, J. R. (2000). Exploiting latent semantic information in statistical language modeling.Proceedings of the IEEE,88, 1279–1296.
Bellissens, C., &Denhière, G. (2003). Retrieval from long-term working memory: A skilled use of semantic memory.Issues in Psycholinguistics,2, 145–165.
Burgess, C., &Lund, K. (1997). Modeling parsing constraints with high-dimensional context space.Language & Cognitive Processes,12, 177–210.
Caillies, S., &Denhière, G. (2001). The interaction between textual structures and prior knowledge: Hypotheses, data and simulation.European Journal of Psychology of Education,16, 17–31.
Caillies, S., Denhière, G., &Jhean-Larose, S. (1999). The intermediate effect: Interaction between prior knowledge and text structure. In H. van Oostendorp & S. Goldman (Eds.),The construction of mental representations during reading (pp. 151–168). Mahwah, NJ: Erlbaum.
Caillies, S., Denhière, G., &Kintsch, W. (2002). The effect of prior knowledge on understanding from text: Evidence from primed recognition.European Journal of Cognitive Psychology,14, 267–286.
Chwilla, D. J., &Kolk, H. H. J. (2002). Three-step priming in lexical decision.Memory & Cognition,30, 217–225.
Cook, A. E., &Myers, J. L. (2004). Processing discourse roles in scripted narratives: The influences of context and world knowledge.Journal of Memory & Language,50, 268–288.
Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., &Harshman, R. (1990). Indexing by latent semantic analysis.Journal of the American Society for Information Science,41, 391–407.
de la Haye, F. (2003). Normes d’associations verbales chez des enfants de 9, 10 et 11 ans et des adultes [Word association norms for 9-, 10-, and 11-year-old children and adults].L’Année Psychologique,103, 109–130.
Denhière, G., &Lemaire, B. (2004). A computational model of children’s semantic memory. In K. Forbus, D. Gentner, & T. Regier (Eds.),Proceedings of the 26th Annual Meeting of the Cognitive Science Society (pp. 297–302). Mahwah, NJ: Erlbaum.
Denhière, G., Lemaire, B., Bellissens, C., &Jhean-Larose, S. (2007). A semantic space for modeling children’s semantic memory. In T. K. Landauer, D. S. McNamara, S. Dennis, & W. Kintsch (Eds.),Handbook of latent semantic analysis (pp. 143–165). Mahwah, NJ: Erlbaum.
Dumais, S. T. (2003). Data-driven approaches to information access.Cognitive Science,27, 491–524.
French, R. M., &Labiouse, C. (2002). Four problems with extracting human semantics from large text corpora. In W. D. Gray & C. D. Schunn (Eds.),Proceedings of the Twenty-fourth Annual Conference of the Cognitive Science Society (pp. 316–322). Mahwah, NJ: Erlbaum.
Gerrig, R. J., &McKoon, G. (1998). The readiness is all: The functionality of memory-based text processing.Discourse Processes,26, 67–86.
Glenberg, A. M., &Robertson, D. A. (2000). Symbol grounding and meaning: A comparison of high-dimensional and embodied theories of meaning.Journal of Memory & Language,43, 379–401.
Kintsch, W. (1988). The role of knowledge in discourse comprehension: A construction integration model.Psychological Review,95, 163–182.
Kintsch, W. (1998).Comprehension: A paradigm for cognition. Cambridge: Cambridge University Press.
Kintsch, W. (2000). Metaphor comprehension: A computational theory.Psychonomic Bulletin & Review,7, 257–266.
Kintsch, W. (2001). Predication.Cognitive Science,25, 173–202.
Kintsch, W. (2007). Meaning in context. In T. K. Landauer, D. S. Mc-Namara, S. Dennis, & W. Kintsch (Eds.),Handbook of latent semantic analysis (pp. 89–105). Mahwah, NJ: Erlbaum.
Kontostathis, A., & Pottenger, W. M. (2002, December).Detecting Patterns in the LSI Term-Term Matrix. Workshop on the Foundation of Data Mining and Discovery, IEE International Conference on Data Mining, Maebashi City, Japan.
Landauer, T. K. (1998). Learning and representing verbal meaning: Latent semantic analysis.Current Directions in Psychological Science,7, 161–164.
Landauer, T. K. (2002). On the computational basis of learning and cognition: Arguments from LSA. In B. H. Ross (Ed.),The psychology of learning and motivation: Advances in research and theory (Vol. 41, pp. 43–84). San Diego: Academic Press.
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.
Landauer, T. K., Foltz, P. W., &Laham, D. (1998). An introduction to latent semantic analysis.Discourse Processes,25, 259–284.
Lemaire, B., &Bianco, M. (2003). Contextual effects on metaphor comprehension: Experiment and simulation. In F. Detje, D. Dörner, & H. Schaub (Eds.),Proceedings of the 5th International Conference on Cognitive Modelling (ICCM) (pp. 153–158). Bamberg, Germany: Universitäts-Verlag.
Lemaire, B., &Denhière, G. (2004). Incremental construction of an associative network from a corpus. In K. Forbus, D. Gentner, & T. Regier (Eds.),Proceedings of the 26th Annual Meeting of the Cognitive Science Society (pp. 825–830). Mahwah, NJ: Erlbaum.
Linderholm, T., Virtue, S., Tzeng, Y., &van den Broek, P. (2004). Fluctuations in the availability of information during reading: Capturing cognitive processes using the landscape model.Discourse Processes,37, 165–186.
Livesay, K., &Burgess, C. (1997). Mediated priming in high-dimensional meaning space: What is “mediated” in mediated priming? In M. G. Shafto & P. Langley (Eds.),Proceedings of the 19th Annual Meeting of the Cognitive Science Society (pp. 436–441). Mahwah, NJ: Erlbaum.
Lowe, W., &McDonald, S. (2000). The direct route: Mediated priming in semantic space. In M. A. Gernsbacher & S. D. Derry (Eds.),Proceedings of the 22nd Annual Meeting of the Cognitive Science Society (pp. 675–680). Mahwah, NJ: Erlbaum.
McNamara, D. S., Kintsch, E., Songer, N. B., &Kintsch, W. (1996). Are good texts always better? Interactions of text coherence, background knowledge, and levels of understanding in learning from text.Cognition & Instruction,14, 1–43.
McNamara, D. S., &Kintsch, W. (1996). Learning from texts: Effects of prior knowledge and text coherence.Discourse Processes,22, 247–288.
Myers, J. L., &O’Brien, E. J. (1998). Accessing the discourse representation during reading.Discourse Processes,26, 131–157.
O’Brien, E. J., Rizzella, M. L., Albrecht, J. E., &Halleran, J. G. (1998). Updating a situation model: A memory-based text processing view.Journal of Experimental Psychology: Learning, Memory, & Cognition,24, 1200–1210.
Perfetti, C. A. (1998). The limits of co-occurrence: Tools and theories in language research.Discourse Processes,25, 363–377.
Rizzella, M. L., &O’Brien, E. J. (2002). Retrieval of concepts in script-based texts and narratives: The influence of general world knowledge.Journal of Experimental Psychology: Learning, Memory, & Cognition,28, 780–790.
Tapiero, I., &Denhière, G. (1995). Simulating recall and recognition by using Kintsch’s construction-integration model. In C. A. Weaver III, S. Mannes, & C. R. Fletcher (Eds.),Discourse comprehension: Essays in honor of Walter Kintsch (pp. 211–232). Hillsdale, NJ: E rlbaum.
van den Broek, P., Risden, K., Fletcher, C. R., &Thurlow, R. (1996). A “landscape” view of reading: Fluctuating patterns of activation and the construction of a stable memory representation. In B. K. Britton & A. C. Graesser (Eds.),Models of understanding text (pp. 165–187). Mahwah, NJ: Erlbaum.
van den Broek, P., Young, M., Tzeng, Y., &Linderholm, T. (1999). The landscape model of reading: Inferences and the on-line construction of a memory representation. In R. F. Lorch, Jr. & E. J. O’Brien (Eds.),Sources of coherence in text comprehension (pp. 353–373). Mahwah, NJ: Erlbaum.
Voss, J. F., &Silfies, L. N. (1996). Learning from history text: The interaction of knowledge and comprehension skill with text structure.Cognition & Instruction,14, 45–68.
Zwaan, R. A., &Radvansky, G. A. (1998). Situation models in language comprehension and memory.Psychological Bulletin,123, 162–185
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Lemaire, B., Denhière, G., Bellissens, C. et al. A computational model for simulating text comprehension. Behavior Research Methods 38, 628–637 (2006). https://doi.org/10.3758/BF03193895
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DOI: https://doi.org/10.3758/BF03193895