GOLDEN: KDC RICHARD GOLDEN HOME PAGE

KDC: A Computer Program for the Analysis of Coherence Relations in Discourse

KDC is a statistical software tool environment specifically intended to support the analysis and exploitation of local coherence relations in protocol data. Briefly, KDC analysis is a categorical time-series analysis which views free response data as an ordered sequence of complex propositions.

SELECTED TALKS, PUBLICATIONS, and PRESENTATIONS

Golden, R. M. (1998). Knowledge digraph contribution analysis of protocol data. Discourse Processes, 25, 179-210. Semi-final draft of the original!

Jaynes, C. and Golden, R. M. (2003). Statistical detection of local coherence relations in narrative recall and summarization data. In R. Alterman and D. Kirsh (eds.). Proceedings of the 25th Annual Conference of the Cognitive Science Society, Boston, MA: Cognitive Science Society, 3-8.

Golden, R. M. (2006). Technical Report: Knowledge Digraph Contribution Analysis. School of Behavioral and Brain Sciences, GR4.1, University of Texas at Dallas, Richardson, TX 75083-0688.

Golden, R. M. (2006). KDC Software Powerpoint Tutorial. School of Behavioral and Brain Sciences, GR4.1, University of Texas at Dallas, Richardson, TX 75083-0688.

Click here to register and download the KDC software.

This research was funded in part by the NSF Information Technology Research Initiative through the Research and Learning on Education Program Award 0113369.