We present Tefkat, an implementation of a language designed specically for the transformation of MOF models using patterns and rules. The language adopts a declarative paradigm, w...
We connect two scenarios in structured learning: adapting a parser trained on one corpus to another annotation style, and projecting syntactic annotations from one language to ano...
The problem of Named Entity Generation is expressed as a conditional probability model over a structured domain. By defining a factor-graph model over the mentions of a text, we o...
The title of this paper, besides being a pun, can be taken to mean either the frontier of research in graph transformation, or the advantage of using graph transformation. To focus...