HAL Papers, Chapters, & Published Conference Presentations

Below is a list of published papers using HAL. PDFs are available where we have the permission of the author(s).

  1. Alison, J., & Burgess, C. (2003). Effects of chronic non-clinical depression on the use of positive and negative words in language contexts. Brain and Cognition, 53, 125-128. pdf

  2. Audet, C., & Burgess, C. (1998). Distinguishing between manner of motion and inherently directed motion verbs using high-dimensional memory space and semantic judgments. Cognitive Science Proceedings, LEA. pg. 66-71. pdf

  3. Audet, C. & Burgess, C. (1999). Using a high-dimensional memory model to evaluate the properties of abstract and concrete words. Cognitive Science Proceedings, LEA. pg. 37-42. pdf

  4. Bellissens, C., & Denhiere, G. (2002). Word order or environment sharing? A comparison of two semantic memory models. Current Psychology Letters: Behaviour, Brain & Cognition, 9, 47-60.

  5. Bueno, S., & Frenck-Mestre, C. (2002). Rapid activation of the lexicon: A further investigation with behavioral and computational results. Brain and Language. Special Issue: Mental lexicon II, 81, 120-130.

  6. Burgess, C. (2001). Representing and resolving semantic ambiguity: A contribution from high-dimensional memory modeling. In Gorfein, D. S. (Ed.), On the Consequences of Meaning Selection: Perspectives on resolving lexical ambiguity. American Psychological Association. pp. 233-261. pdf

  7. Burgess, C. (2000). Theory and operational definitions in computational memory models: A response to Glenberg and Robertson. Journal of Memory and Language, 43, 402-408. pdf

  8. Burgess, C. (1998). From simple associations to the building blocks of language: Modeling meaning in memory with the HAL model. Behavior Research Methods, Instruments & Computer, 30, 188-198. pdf

  9. Burgess., C., & Conley, P. (1998). Developing semantic representations for proper names. Cognitive Science Proceedings, LEA. pg. 185-190. pdf

  10. Burgess, C., & Conley, P. (1999). Representing proper names and objects in a common semantic space: A computational model. Brain and Cognition, 40, 67-70. pdf

  11. Burgess, C., Livesay, K., & Lund, K. (1998). Explorations in context space: Words, sentences, discourse. Discourse Processes, 25, 211-257. pdf

  12. Burgess, C., & Lund, K. (1997a). Modelling parsing constraints with high-dimensional context space. Language and Cognitive Processes, 12, 177-210. pdf

  13. Burgess, C., & Lund, K. (1997b). Representing abstract words and emotional connotation in high-dimensional memory space. Cognitive Science Proceedings, LEA. pg. 61-66. pdf

  14. Burgess, C., & Lund, K. (1998). Modeling cerebral asymmetries in high-dimensional space. In Beeman, M., & Chiarello, C. (Eds.), Right hemisphere language comprehension: Perspectives from cognitive neuroscience. pp 215-244. Lawrence Erlbaum Associates, Publishers, Mahwah, NJ. pdf

  15. Burgess, C., & Lund, K. (2000). The dynamics of meaning in memory. In Dietrich, E., & Markman, A. B. (Eds.), Cognitive Dynamics: Conceptual Change in Humans and Machines. Lawrence Erlbaum Associates, Publishers. pp. 117-156. pdf

  16. Conley, P. L. (2003). Modeling age and memory in a connectionist/high dimensional network. Dissertation Abstracts International: Section B: The Sciences and Engineering, 63 (8-B), 3950.

  17. Conley, P., & Burgess, C. (2000a). Age effects in a computational model of memory. Brain and Cognition, 43, 104-108. pdf

  18. Conley, P., & Burgess, C. (2000b). A computational approach to modeling population differences. Behavior Research Methods, Instruments & Computers, 32, 274-279. pdf

  19. Conley, P., Burgess, C., & Glosser, G. (2001). Age vs alzheimer's: A computational model of changes in representation. Brain and Cognition. Special Issue: TENNET XI: Theoretical and Experimental Neuropsychology, 46, 86-90. pdf

  20. Conley, P., Burgess, C., & Hage, D. (1999). Large-scale databases of proper names. Behavior Research Methods, Instruments & Computers, 31, 215-219. pdf

  21. Fletcher, C. R., & Linzie, B. (1998). Motive and opportunity: Some comments on LSA, HAL, KDC, and principal components. Discourse Processes, 25, 355-361.

  22. Glenberg, A. M., & Robertson, D. A. (2000). Symbol grounding and meaning: A comparison of high-dimensional and embodied theories of meaning. Journal of Memory and Language, 43, 379-401.

  23. Hutchinson, K. A. (2003). Is Is semantic priming due to association strength or featural overlap? A micro-analytic review. Psychonomic Bulletin & Review, 10, 785-813.

  24. Li, P., Burgess, C., & Lund, K. (1998). The acquisition of word meaning through global lexical co-occurrence. The Proceedings of the 30th Annual Child Language Research Forum. Center for the Study of Language and Information. pp. 167-178. pdf

  25. Livesay, K., & Burgess, C. (1997). Mediated priming in high-dimensional meaning space: What is "mediated" in mediated priming? Cognitive Science Proceedings, LEA. pg. 436-441. pdf

  26. Livesay, K., & Burgess, C. (1998). Mediated priming in high-dimensional semantic space: No effect of direct semantic relationships or co-occurrence. Brain and Cognition, 37, 102-105. pdf

  27. Lund, K., & Burgess, C. (1997). Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, Instruments & Computers, 28, 203-208. pdf

  28. Lund, K., Burgess, C., & Atchley, R. A. (1995). Semantic and associative priming in high-dimensional semantic space. Cognitive Science Proceedings, LEA. pg. 660-665. pdf

  29. Lund, K., Burgess, C., & Audet, C. (1996). Dissociating semantic and associative relationships using high-dimensional semantic space. Cognitive Science Proceedings, LEA. pg. 603-608. pdf

  30. Lund, K. (2002). HAL: A computational model of semantics. Dissertation Abstracts International: Section B: The Sciences and Engineering, 62 (12-B), 5989.

  31. Murphy, G. L. (2002). The big book of concepts. MIT Press. (Chapter 11: Word Meaning, has an extended discussion of high dimensional models of meaning like HAL and LSA).

  32. Rohde, D. L. T., Gonnerman, L., and Plaut, D. C. (submitted). An improved model of semantic similarity based on lexical co-occurrence. Cognitive Science.