We present a syntactically enriched vector model that supports the computation of contextualized semantic representations in a quasi compositional fashion. It employs a systematic...
Abstract. Runtime detection of contextual properties is one of the primary approaches to enabling context-awareness. Existing property detection schemes implicitly assume that cont...
In this paper, we present generic algorithms to ensure the consistency of mutual-exclusion and binding constraints in a business process context. We repeatedly identified the need...
Linear Context-Free Rewriting Systems (LCFRSs) are a grammar formalism capable of modeling discontinuous phrases. Many parsing applications use LCFRSs where the fan-out (a measure...
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...