DISCOURSE UNDERSTANDING AS IMAGE GENERATION On perception-based processing of NL texts in SCIP systems
نویسنده
چکیده
Semiotic Cognitive Information Processing (SCIP) is inspired by information systems theory and grounded in (natural/artificial) system-environment situations. SCIP systems’ knowledge-based natural language processing (NLP) of information makes it cognitive, their sign and symbol generation, manipulation, and understanding capabilities render it semiotic. Based upon structures whose representational status is not a presupposition to, but a result from recursive processing, SCIP algorithms initiate and modify the structures they are operating, and by simulating processes of symbol grounding they realize meaning constitution and language understanding. Whereas traditional semantics is based upon the symbolic (de)composition of propositional structures, SCIP tries to model learning and understanding dynamically by visualizing what is understood in a perception-based, sub-symbolic, multi-resolutional way of processing natural language discourse. An experimental 2-dim scenario with object locations described relative to a mobile agent’s varying positions allows to test SCIP systems’ performance against human natural language understanding in a controlled way.
منابع مشابه
Perception Based Processing of NL
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