UTCS Artificial Intelligence
Understanding Complex Sentences with the Sentence Gestalt Model
Active from 1998 - 2001
The integrated processing-decoding network model of St. John and McClelland (1990) was revised to allow extracting the predicate content of complex sentences directly from an incoming stream of word tokens. The input stream was presented to the network without any syntactic markup such as bracketization, and the extraction was done without any explicit emulation of stacking, segmentation, or other such operations that are ordinarily associated with parsing a sentence. The lack of such explicit syntactic operations allowed a simulated neural network of minor complexity to be trained to the task under a simple regimen.
Bobby D. Bryant
bdbryant [at] cse unr edu
From Word Stream To Gestalt: A Direct Semantic Parse For Complex Sentences
Bobby D. Bryant and Risto Miikkulainen, Technical Report AI98-274, AI Lab, University of Texas at Austin.
Natural Language Processing (Cognitive)