CEUR Workshop Proceedings
Natural language is an ideal mode of interaction and knowledge sharing between intelligent computer systems and their human users. But a major problem that natural language interaction poses is linguistic variation, or the "paraphrase problem": there are a variety of ways of referring to the same idea. This is a special problem for intelligent systems in domains such as information retrieval, where a query presented in natural language is matched against an ontology or knowledge base, particularly when its representation uses a vocabulary based in natural language. This paper proposes solutions to these problems in primitive decomposition methods that represent concepts in terms of structures reflecting low-level, embodied human cognition. We argue that this type of representation system engenders richer relations between natural language expressions and knowledge structures, enabling more effective interactive knowledge sharing.
Conceptual dependency, Knowledge sharing, Natural language interaction, Natural language understanding, Primitive decomposition
Macbeth, Jamie C., "Conceptual Primitive Decomposition for Knowledge Sharing via Natural Language" (2017). Computer Science: Faculty Publications, Smith College, Northampton, MA.
Archived as published.