This article presents an architecture for natural language generation of biomedical argumentation. The goal is to reconstruct the normative arguments that a domain expert would provide, in a manner that is transparent to a lay audience. Transparency means that an argument's structure and functional components are accessible to its audience. Transparency is necessary before an audience can fully comprehend, evaluate or challenge an argument, or re-evaluate it in light of new findings about the case or changes in scientific knowledge. The architecture has been implemented and evaluated in the Genetics Information Expression Assistant, a prototype system for drafting genetic counselling patient letters. Argument generation makes use of abstract argumentation schemes. Derived from the analysis of arguments used in genetic counselling, these mainly causal argument patterns refer to abstract properties of qualitative causal domain models.
This paper describes a state-of-the-art environment for distributed Extreme Programming that results from combining the Sangam editor, developed at NCSU and the Facetop user interface, developed at UNC-Chapel Hill. Sangam facilitates distributed Extreme Programming by sending events back and forth between a driver and a navigator working under the Eclipse development environment. Concurrently, Facetop allows the distributed pair to recapture some of the face-to-face communications that are lost in no-video distributed pairing sessions. The integrated tool is a quantum leap forward for distributed Extreme Programming as well as distributed agile development.
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