UTCS Artificial Intelligence
Semantic Disambiguation in Sentence Processing
Active from 1994 - 1998
Subsymbolic processing of sentences is based on associations of words with past context. As words come in, their possible contexts are combined into the interpretation of the sentence. This model demonstrates how context frequency drives the process of disambiguating word meanings.
Marshall R. Mayberry III
Ph.D. Student (Alumni)
martym at coli dot uni-sb dot
Lexical Disambiguation Based on Distributed Representations of Context Frequency
Marshall R. Mayberry III and Risto Miikkulainen
Natural Language Processing (Cognitive)
MIR Sentence Processing Package
The MIR Sentence Processing package contains the C source code for the MIR system, as well as a selection of scripts wi...