We propose an extension of functional logic languages that allows the definition of operations with patterns containing other defined operation symbols. Such “function patterns...
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
We present a novel hybrid approach for Word Sense Disambiguation (WSD) which makes use of a relational formalism to represent instances and background knowledge. It is built using...
c specifications provide a powerful method for the specification of abstract data types in programming languages and software systems. Completeness and ground confluence are fundam...
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. Our research has focused on Information Extraction (IE), a task that typically invol...