The Semantic Pictionary Project

Expanding the Space of Cognitive Science - Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, CogSci 2011

Volumn , Issue , 2011, Pages 2229-2234

  Kievit Kylar, Brent ^a   Jones, Michael N ^a  

^a INDIANA UNIVERSITY   (United States)

Author keywords

crowdsourcing; embodied cognition; Geon; natural language processing; semantic space models

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

EMBODIED COGNITION; GEON; LANGUAGE PROCESSING; NATURAL LANGUAGE PROCESSING; NATURAL LANGUAGES; ON-LINE GAMES; ON-LINE TOOLS; SEMANTIC SPACE; SEMANTIC SPACE MODEL; SPACE MODELS;

CROWDSOURCING;

EID: 84855942155     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Andrews, M., Vigliocco, G., & Vinson, D. (2009). Integrating experiential and distributional data to learn semantic representations. Psyc Review, 116, 463-498.
2. Biederman, I. (1987). Recognition-by-components: A theory of human image understanding. Psychological Review, 94, 115-147.
3. deVega, M., Graesser, A., & Glenberg, A. (2008). Symbols and Emboiment: Debates on Meaning and Cognition. NY: Oxford Press.
4. Jones, M. N., & Mewhort, D. J. K. (2007). Representing word meaning and order information in a composite holographic lexicon. Psychological Review, 114, 1-37.
5. Jones, M. N., & Recchia, G. (2010). You can’t wear a coat rack: A binding framework to avoid illusory feature migrations in perceptually grounded semantic models. Proceedings of the 32nd Annual Cognitive Science Society.
6. Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato’s problem: The latent semantic analysis theory of the acquisition, induction, and representation of knowledge. Psychological Review, 211-240.
7. McRae, K., Cree, G. S., Seidenberg, M. S., & McNorgan, C. (2005). Semantic feature production norms for a large set of living and nonliving things. Behavior Research Methods, Instruments, & Computers, 37, 547-559.
8. Recchia, G., & Jones, M. N. (2011). Crowdsourcing large-scale semantic feature norms. Paper presented at the Midwest Cognitive Science Conference, MSU.
9. Riordan, B., & Jones, M. N. (2010). Redundancy in perceptual and linguistic experience: Comparing feature-based and distributional models of semantic representation. Topics in Cognitive Science.
10. Rosch, E. H. (1975). Cognitive representations of semantic categories. Journal of Experimental Psychology: General, 104, 192-233.
11. Steyvers, M. (2010). Combining feature norms and text data with topic models. Acta Psychologica, 133, 234-243.
12. Von Ahn, L. (2006). Games with a purpose. Computer.