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IJCNN
2008
IEEE
15 years 4 months ago
Knowledge representation and acquisition for large-scale semantic memory
Abstract—Acquisition and representation of semantic concepts is a necessary requirement for the understanding of natural languages by cognitive systems. Word games provide an int...
Julian Szymanski, Wlodzislaw Duch
FLAIRS
2007
15 years 9 days ago
Knowledge Transfer in Deep Convolutional Neural Nets
Knowledge transfer is widely held to be a primary mechanism that enables humans to quickly learn new complex concepts when given only small training sets. In this paper, we apply ...
Steven Gutstein, Olac Fuentes, Eric Freudenthal
AAAI
2006
14 years 11 months ago
Cross-Domain Knowledge Transfer Using Structured Representations
Previous work in knowledge transfer in machine learning has been restricted to tasks in a single domain. However, evidence from psychology and neuroscience suggests that humans ar...
Samarth Swarup, Sylvian R. Ray
AAAI
1993
14 years 11 months ago
Comprehensibility Improvement of Tabular Knowledge Bases
This paper discusses the important issue of knowledge base comprehensibility and describes a technique for comprehensibility improvement. Comprehensibility is often measured by si...
Atsushi Sugiura, Maximilian Riesenhuber, Yoshiyuki...
CNL
2009
14 years 11 months ago
Anaphora Resolution Involving Interactive Knowledge Acquisition
Abstract. Anaphora resolution in current computer-processable controlled natural languages relies mainly on syntactic information, accessibility constraints and the distance of the...
Rolf Schwitter