Organizing the space and behavior of semantic models

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014

Volumn , Issue , 2014, Pages 1329-1334

  Rubin, Timothy N ^a   Willits, Jon A ^a   Kievit Kylar, Brent ^a   Jones, Michael N ^a  

^a Department of Brain and Psychological Sciences ^*  (United States)

Author keywords

Computational Models; Language Models; Model Comparison; Semantic Modeling

Indexed keywords

COMPUTATIONAL LINGUISTICS; MODELING LANGUAGES;

CO-OCCURRENCE; COGNITIVE SCIENCE; COMPUTATIONAL MODELLING; LANGUAGE MODEL; MODEL USE; MODELS COMPARISONS; SEMANTIC MODELLING; STATISTICAL LEARNING; SUB PROCESS; WORD MEANING;

SEMANTICS;

EID: 84981723784     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Griffiths, T. L., Steyvers, M., & Tenenbaum, J. B. (2007). Topics in semantic representation. Psychological Review, 114, 211-244.
2. Lund, K., & Burgess, C. (1996). Producing high-dimensional semantic spaces from lexical co-occurrence. Behavioral Research Methods, Instrumentation, and Computers, 28, 203-208.
3. Jones, M. N., Kintsch, W., & Mewhort, D. J. K. (2006). High-dimensional semantic space accounts of priming. Journal of Memory and Language, 55, 534-552.
4. Landauer, T., & Dumais, S. (1997). A solution to Plato's problem: The Latent Semantic Analysis theory of the acquisition, induction, and representation of knowledge. Psychological Review, 104, 211-240.
5. McRae, K., & Jones, M. (2013). 14 Semantic Memory. The Oxford Handbook of Cognitive Psychology, 206.
6. Rohde, D. L. T., Gonnerman, L., & Plaut, D. C. (2009). An improved model of semantic similarity based on lexical co-occurrence. Cognitive Science.
7. Salton, G., Wong, A., & Yang, C. S. (1975). A vector space model for automatic indexing. Communications of the ACM, 18(11), 613-620.