In this article, we address the task of comparing and combining different semantic verb classifications within one language. We present a methodology for the manual analysis of ind...
A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach ...
An important number of studies have addressed the importance of models in software engineering, mainly in the design of robust software systems. Although models have been proven t...
Recently confusion network decoding shows the best performance in combining outputs from multiple machine translation (MT) systems. However, overcoming different word orders prese...
: A recurring manual task in data integration or ontology alignment is finding mappings between complex schemas. In order to reduce the manual effort, many matching algorithms for ...