Released 1994
The PROC package contains the C-code and data for training and testing the story processing modules of the DISCERN system. PROC is trained to read and paraphrase script-based stories and answer questions about them. It includes a "real-time" X11(R5) graphics display for visualization and debugging and routines for collecting performance statistics throughout training and testing. For more details, see the Subsymbolic NLP book , or a (slightly old) PROC paper. Even though PROC was developed as part of DISCERN, it itself can serve as a starting point for various experiments in modular connectionist NLP architectures. It includes code for sequential input and sequential output SRN as well as nonrecurrent backpropagation networks, the FGREP mechanism for developing distributed representations for words, and for cloning words with the content ID technique. There are also general routines for managing the simulation, collecting performance statistics, and visualizing the networks "real-time" on an X11 graphics display.

Comments to


v1.0 9/21/94 risto  

v1.0.1 1/8/97 risto  

- fixed color allocation bug (screens with more than 256 colors)      

Risto Miikkulainen Faculty risto [at] cs utexas edu
A Subsymbolic Model of Language Pathology in Schizophrenia 2007
Uli Grasemann, Risto Miikkulainen, Ralph Hoffman, In Proceedings of the 29th Annual Conference of the Cognitive Science Society, pp. 311-316, Hillsdale, NJ 2007. Erlbaum.
Natural Language Processing With Modular PDP Networks And Distributed Lexicon 1991
Risto Miikkulainen and Michael G. Dyer, Cognitive Science, Vol. 15 (1991), pp. 343-399.