ACT-R

Publications about Language Processing

Anderson, J. R., Budiu, R. & Reder, L. M. (2001). A theory of sentence memory as part of a general theory of memory. Journal of Memory and Language, 45, 337-367. [PDF] [ACT-R 4.0 web-based simulations and model source code] [info]

Ball, J. (2004). A cognitively plausible model of language comprehension. In Proceedings of the 13th Conference on Behavior Representation in Modeling and Simulation (pp. 305-316). [PDF] [info]

Ball, J. (2006). Can NLP Systems be a Cognitive Black Box? Papers from the AAAI Spring Symposium, Technical Report SS-06-02. Menlo Park, CA: AAAI Press. [PDF] [info]

Ball, J. (2007). Construction-driven language processing. In Proceedings of the 2nd European Cognitive Science Conference. [PDF] [info]

Ball, J., Heiberg, A., & Silber, R. (2007). Toward a large-scale model of language comprehension in ACT-R 6. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA. [PDF] [info]

Ball, J., Rodgers, S., & Gluck, K. (2004). Integrating ACT-R and Cyc in a large-scale model of language comprehension for use in intelligent agents. In Papers from the AAAI Workshop, Technical Report WS-04-07, pp. 19-25. Menlo Park, CA: AAAI Press [PDF] [info]

Ball, J. T. (2003). Beginnings of a language comprhension module in ACT-R 5.0. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 231-232). Bamberg, Germany: Universitats-Verlag Bamberg. [PDF] [info]

Brustein, A. & Larranaga, M. P. (2006). Gender, language, and the goblet of fire. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 355-356). Trieste, Italy. [PDF] [info]

Budiu, R. (2001) The role of background knowledge in sentence processing, Doctoral Dissertation, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA. (Available as Technical Report No. CMU-CS-01-148.) [PDF] [info]

Budiu, R. and Anderson, J. R. (2001). Word Learning in Context: Metaphors and Neologisms. (Technical Report No. CMU-CS-01-147.) School of Computer Science, Carnegie Mellon University. [PDF] [ACT-R 4.0 web-based simulation and Excel files] [info]

Budiu, R. & Anderson, J. R. (2000). Integration of background knowledge in sentence processing: A unified theory of metaphor understanding, semantic illusions, and text memory. In Proceedings of the Third International Conference on Cognitive Modeling, pp. 50-57. Groningen, Netherlands: Universal Press. [PDF] [info]

Budiu R., & Anderson J. R. (2002). Comprehending anaphoric metaphors. Memory & Cognition 30, 158-165. [PDF] [info]

Budiu, R. & Anderson, J. R. (2003). Verifica†ion of sentences containing anaphoric metaphors: An ACT-R computational model. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 39-44). Bamberg, Germany: Universitats-Verlag Bamberg. [PDF] [info]

Budiu, R. & Anderson, J. R. (2004). Interpretation-Based Processing: A Unified Theory of Semantic Sentence Processing. Cognitive Science 28, 1-44. [PDF] [ACT-R 4.0 web-based simulations and model source code] [info]

Budiu, R. & Anderson, J. R. (2005). Negation in nonliteral sentences. In B. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates. [PDF] [info]

Budiu, R. & Anderson, J. R. (2006). Word learning in context: Metaphors and neologisms. In M. Vishnevsky (Ed.), Focus on Cognitive Psychology Research, Nova Science Publishers. New York, NY: Hauppage. [PDF] [info]

Crescentini, C., & Stocco, A. (2005). Agrammatism as a failure in the lexical activation process. In B. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum Associates. [PDF] [info]

Emond, B. (1997b). Modeling natural language comprehension and anaphora resolution with ACT-R. In Proceedings of the Fourth Annual ACT-R Workshop (pp. 1-8). Pittsburgh, PA: Department of Psychology, Carnegie Mellon University. [PDF] [info]

Emond, B. (1999). Estimating processing time of online semantic interpretation components. Proceedings of the Fifth Annual ACT-R Workshop (pp. 113-118). Fairfax, VA : Department of Psychology, George Mason University. [PDF] [info]

Emond. B. (2006). WN-LEXICAL: An ACT-R module built from the WordNet lexical database. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 359-360). Trieste, Italy. [PDF] [info]

Fowles-Winkler, A. M. & Michaelis, L. (2005) An ACT-R model of sentence sorting with argument structure constuctions. In the Proceedings of the Linguistic Society of America Annual Meeting , January 7, 2005, Oakland, CA. [PDF] [info]

Guhe, M. (2009). Generating referring expressions with a cognitive model. In Proceedings of PRE-CogSci 2009: Production of Referring Expressions: Bridging the gap between computational and empirical approaches to reference. 29th July 2009, Amsterdam. [PDF] [info]

Guhe, M. & Bard, E. G. (2008). Adapting the use of attributes to the task environment in joint action: Results and a model. In Proceedings of Londial – The 12th Workshop on the Semantics and Pragmatics of Dialogue, 91–98. [PDF] [info]

Guhe, M., Pease, A., & Smaill, A. (2009). A cognitive model of discovering commutativity. In Proceedings of the 31st Annual Conference of the Cognitive Science Society( p. 727–732). [PDF] [info]

Lewis, R. L. (1999, March). Attachment without competition: A race-based model of ambiguity resolution in a limited working memory. Presented at the CUNY Sentence Processing Conference, New York. [info]

Lewis, R. L. (2006). The surprising nature of working memory in language comprehension: Insights from cognitive architectures and psycholinguistics. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 16-17). Trieste, Italy. [info]

Lewis, R. L. & Vasishth, S. (2005). A hypothesis about serial order information in parsing (that yields a novel explanation of center-embedding difficulty). Presented at City University of New York Sentencing Processing Conference, April 1, 2005, Tucson, AZ. [PDF] [info]

Lewis, R. L. & Vasishth, S. (2005). An activation-based model of sentence processing as skilled memory retrieval. Cognitive Science, 29, 375-419. [PDF] [info]

Lewis, R. L., Vasishth, S. and Van Dyke, J. A. (2006) Computational principles of working memory in sentence comprehension. Trends in Cognitive Science, 10, 447-454. [PDF] [info]

Matessa, M. & Anderson, J. R. (1997). Focused Learning in a Linguistic Environment. In Proceedings of the 19th Annual Conference of the Cognitive Science Society, p. 990. Mahwah, NJ: Erlbaum. [PDF] [info]

Matessa, M. & Anderson, J. R. (2000). An ACT-R model of adaptive communication. In Proceedings of the Third International Conference on Cognitive Modeling, pp. 210-217, University of Groningen, Netherlands. [PDF] [info]

Misker, J. M. V. & Anderson, J. R. (2003). Combining optimality theory and a cognitive architecture. In Proceedings of the Fifth International Conference on Cognitive Modeling, 165-170, Bamberg, Germany [PDF] [info]

Pyke, A., West, R., & LeFevre, J. (2007). How readers retrieve referents for nouns in real time: A memory-based model of context effects. In proceedings of the 8th International Conference on Cognitive Modeling Ann Arbor, Michigan, USA. [PDF] [info]

Pyke, A., West, R. L., & LeFevre, J. (2007). On-line reference assignment for anaphoric and non-anaphoric nouns: A unified, memory-based model in ACT-R. In proceedings of the 29th Annual Conference of the Cognitive Science Society. Nashville, TN, USA. [PDF] [info]

Reitter, D. & Lebiere, C. (2009). Towards explaining the evolution of domain languages with cognitive simulation. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 176), Manchester, United Kingdom. [PDF] [info]

Salvucci, D. D., & Anderson, J. R. (2001). Integrating analogical mapping and general problem solving: The path-mapping theory. Cognitive Science, 25, 67-110. [PDF] [ACT-R 4.0 web-based simulations and models source code] [info]

Shibata, M., Abe, J., Terao, A., & Miyamoto, T. (2007). Neural mechanisms involved in the comprehension of metaphoric and literal sentences: An fMRI study. Brain Research, 1166, 92-102. [PDF] [info]

Stocco, A., & Crescentini, C. (2005). Syntactic comprehension in agrammatism: A computational model. Brain & Language 95(1), 127-128. [PDF] [info]

Suckow, K., Vasishth, S., & Lewis, R. L. (2005). interference and memory overload during parsing. In proceedings of the Architecture and Mechanisms for Language Processing 2005(September), Ghent, Belgium. [PDF] [info]

Taatgen, N. A. (2001). Extending the Past-tense debate: A model of the german plural. In J. D. Moore and K. Stenning, Proceedings of the twenty-third annual conference of the cognitive science society, 1018-1023. Mahwah, NJ: Erlbaum. [PDF] [info]

Taatgen, N.A. & Anderson, J.R. (2002). Why do children learn to say "broke"? A model of learning the past tense without feedback. Cognition, 86(2), 123-155. [PDF] [ACT-R 4.0 model source code] [info]

Taatgen, N.A. & Dijkstra, M. (2003). Constraints on Generalization: Why are past-tense irregularization errors so rare? Proceedings of the 25th annual conference of the cognitive science society (pp. 1146-1151). Mahwah, NJ: Erlbaum [HTML] [info]

van Rijn, H. & Anderson, J. R. (2003). Modeling lexical decision as ordinary retrieval. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 207-212). Bamberg, Germany: Universitats-Verlag Bamberg. [PDF] [info]

Vasishth, S., Brüssow, S., Lewis, R. L., & Drenhaus, H. (in press). Processing polarity: How the grammatical intrudes on the ungrammatical. Cognitive Science. [PDF] [Document] [info]

Vasishth, S., Heiner, D., Saddy, D., & Lewis, R. L. (2005). Processing negative polarity. Presented at City University of New York Sentence Processing Conference, March, 31, 2005, Tucson, AZ. [PDF] [info]

Vasishth, S. & Lewis, R. L. (submitted). Argument-head distance and processing complexity: Explaining both locality and anti-locality effects. Language. [PDF] [info]

Zondervan, K. & Taatgen, N.A. (2003). The determiners model: a cognitive model of macro development and U-shaped learning in a micro domain. In F. Detje, D Dörner and H. Schaub (eds.), Proceedings of the fifth international conference on cognitive modeling (pp. 225-230). Bamberg: Universitätsverlag Bamberg. [HTML] [info]

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