Constructing Semantic Representations From a Gradually Changing Representation of Temporal Context
Article first published online: 19 AUG 2010
Copyright © 2010 Cognitive Science Society, Inc.
Topics in Cognitive Science
Volume 3, Issue 1, pages 48–73, January 2011
How to Cite
Howard, M. W., Shankar, K. H. and Jagadisan, U. K. K. (2011), Constructing Semantic Representations From a Gradually Changing Representation of Temporal Context. Topics in Cognitive Science, 3: 48–73. doi: 10.1111/j.1756-8765.2010.01112.x
- Issue published online: 10 JAN 2011
- Article first published online: 19 AUG 2010
- Received 26 January 2009; received in revised form 2 November 2009; accepted 5 November 2009
- Episodic memory;
- Semantic memory;
- Mathematical modeling;
- Computational modeling
Computational models of semantic memory exploit information about co-occurrences of words in naturally occurring text to extract information about the meaning of the words that are present in the language. Such models implicitly specify a representation of temporal context. Depending on the model, words are said to have occurred in the same context if they are presented within a moving window, within the same sentence, or within the same document. The temporal context model (TCM), which specifies a particular definition of temporal context, has proved useful in the study of episodic memory. The predictive temporal context model (pTCM) uses the same definition of temporal context to generate semantic memory representations. Taken together pTCM and TCM may prove to be part of a general model of declarative memory.