Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Machine translation: past, present, future
Machine translation: past, present, future
The society of mind
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
Computational Linguistics
Pursuing the Goal of Language Understanding
ICCS '08 Proceedings of the 16th international conference on Conceptual Structures: Knowledge Visualization and Reasoning
Architectures for intelligent systems
IBM Systems Journal
Conceptual graphs for a data base interface
IBM Journal of Research and Development
Peirce's contributions to the 21st century
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
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Systems for natural language processing (NLP) are based on some linguistic theory adapted to available computational technology. Since the earliest NLP systems, a variety of linguistic, philosophical, logical, and computational issues have created controversies about the design choices. Today, advances in technology have created new options, and insights from neuroscience can help guide the choices. Section 1 summarizes the controversies and the shifting design choices caused by different theories and technologies. Section 2 presents neural evidence about connections among language areas of the brain and their implications on the design. Section 3 summarizes psycholinguistic considerations on the design and implementation of conceptual graphs. Section 4 describes how the VivoMind Language Processor (VLP) implements these design options. In recent tests, they enabled VLP to get significantly better results than more traditional designs.