Language processing via canonical verbs and semantic models
Gary G. Hendrix, Craig W. Thompson, Jonathan Slocum · International Joint Conference on Artificial Intelligence · 1973
A natural language question answering system is presented. The system's parser maps semantic paraphrases into a single deep structure characterized by a canonical verb. A modeling scheme using semantic nets and STRIPS-like operators assimilates the sequence of input information. Natural language responses to questions are generated from a data base of semantic nets by parsing syntactic rules retrieved from the lexicon.