Processing Script-Based Stories: The DISCERN System
Active from 1990 - 1994
Much of our NLP work originates from DISCERN, a large-scale natural language processing system implemented entirely at the subsymbolic level. In DISCERN, distributed neural network models of parsing, generating, reasoning, lexical processing, and episodic memory are integrated into a single system that learns to read, paraphrase, and answer questions about stereotypical narratives. In this approach, subsymbolic networks are not only plausible models of isolated cognitive phenomena, but also serve as building blocks for large-scale artificial intelligence systems.
Risto Miikkulainen Faculty risto [at] cs utexas edu
A Computational Model of Language Pathology in Schizophrenia 2010
Uli Grasemann, PhD Thesis, Department of Computer Science, The University of Texas at Austin. 147 pages. Technical report TR-11-11.
Text and Discourse Understanding: The DISCERN System 2002
Risto Miikkulainen, In A Handbook of Natural Language Processing: Techniques and Applications for the Processing of Language as Text, R. Dale, H. Moisl and H. Somers (Eds.), pp. 905--919, New York 2002.
Script-Based Inference And Memory Retrieval In Subsymbolic Story Processing 1995
Risto Miikkulainen, Applied Intelligence (1995), pp. 137-163.
Integrated Connectionist Models: Building AI Systems on Subsymbolic Foundations 1994
Risto Miikkulainen, Artificial Intelligence and Neural Networks: Steps Toward Principled IntegrationHonavar, V., and Uhr, L. (Eds.) (1994), pp. 483--508.
Subsymbolic Natural Language Processing: An Integrated Model Of Scripts, Lexicon, And Memory 1993
Risto Miikkulainen, , MIT Press, Cambridge, MA 1993. MIT Press.
DISCERN: A Distributed Artificial Neural Network Model Of Script Processing And Memory 1990
Risto Miikkulainen, PhD Thesis, University of California. 334.

This package contains the C-code and data for training and testing the DISLEX model of the lexicon, which is also par...


HFM The HFM package contains the C-code and data for training and testing the HFM memory organization and hierarchical class... 1994

PROC The PROC package contains the C-code and data for training and testing the story processing modules of the DISCERN syste... 1994

DISCERN DISCERN is a large, modular neural network system for reading, paraphrasing and answering questions about stereotypical ... 1993