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...
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 ...
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...
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...
Abstract. Anaphora resolution in current computer-processable controlled natural languages relies mainly on syntactic information, accessibility constraints and the distance of the...