Knowledge Representation for Natural Language Processing
Stuart C. Shapiro, Bell Hall · Cumulative Index of Computer Aided Architectural Design · 1993
In this paper the authors extend, deepen, and clarify their theory of intentional knowledge representation for natural- language processing, as presented in previous papers and in light of objections raised by others. The essential claim is that tokens in a knowledge-representation system represent only intentions and not extensions. The authors pursue this investigation by building CASSIE, a computer model of a cognitive agent and, to the extent she works, a cognitive agent herself. CASSIE's mind is implemented in the SNePS propositional semantic-network processing system