Parallel distributed processing: explorations in the microstructure of cognition, vol. 2: psychological and biological models
Application of Spreading Activation Techniques in InformationRetrieval
Artificial Intelligence Review
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Searching the Web by constrained spreading activation
Information Processing and Management: an International Journal
Semantic Networks in Artificial Intelligence
Semantic Networks in Artificial Intelligence
Brain Signatures of Meaning Access in Action Word Recognition
Journal of Cognitive Neuroscience
Word sense disambiguation with spreading activation networks generated from thesauri
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Medical document categorization using a priori knowledge
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Nonambiguous concept mapping in medical domain
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Cognitive Architectures: Where do we go from here?
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Learning data structures with inherent complex logic: neurocognitive perspective
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Annotating words using wordnet semantic glosses
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
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Neurocognitive processes responsible for representation of meaning and understanding of words are investigated. First a review of current knowledge about word representation, recent experiments linking it to associative memory and to right hemisphere synchronous activity is presented. Various conjectures on how meaning arises and how reasoning and problem solving is done are presented. These inspirations are used to make systematic approximation to spreading activation in semantic memory networks. Using hierarchical ontologies representations of short texts are enhanced and it is shown that highdimensional vector models may be treated as a snapshot approximation of the neural activity. Clustering short medical texts into different categories is greatly enhanced by this process, thus facilitating understanding of the text.