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 Uli Grasemann PhD Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX, December ... 2010

Text and Discourse Understanding: The DISCERN System Risto Miikkulainen In R. Dale, H. Moisl and H. Somers, editors, A Handbook of Natural Language Processing: Technique... 2002

Script-Based Inference And Memory Retrieval In Subsymbolic Story Processing Risto Miikkulainen Applied Intelligence:137-163, 1995. 1995

Integrated Connectionist Models: Building AI Systems on Subsymbolic Foundations Risto Miikkulainen Honavar, V., and Uhr, L., editors, Artificial Intelligence and Neural Networks: Steps Toward Prin... 1994

Subsymbolic Natural Language Processing: An Integrated Model Of Scripts, Lexicon, And Memory Risto Miikkulainen , Cambridge, MA, 1993. MIT Press. 1993

DISCERN: A Distributed Artificial Neural Network Model Of Script Processing And Memory Risto Miikkulainen PhD Thesis, University of California, 1990. 334. 1990

DISLEX

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

1994

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