Brigitte Endres-Niggemeyer

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I report here on a small preparatory study in ontology construction. It explored T-cell depletion , a special issue in bone marrow transplantation (BMT). The target ontology aims at supporting WWW summarizing in BMT. As a result I propose a case-specific research design backed up by thesaurus construction methods and a systematic field research grounding.(More)
SimSum (Simulation of Summarizing) simulates 20 real-world working steps of expert summarizers. It presents an empirically founded cognitive model of summarizing and demonstrates that human summarization strategies can be simulated. The cognitive model operationalizes the discourse processing model developed by Kintsch and van Dijk (1983). Knowledge(More)
Professional summarising includes the cognitive process of abstracting, indexing and classifying as performed by the expert summarisers who prepare records for bibliographic information systems. In order to simulate their skilled performance, a "grounded" (or "naturalistic") cognitive model of expert summarisation has been developed, using 54 thinking-aloud(More)
After illustrating with the help of a textuality checklist how it transpires that humans can produce so much better summaries than automatic systems, I plead the cause of a summarization system that follows the approach of human summarizers-not in the system underground but near the user interface where users actually feel it. I present the overall research(More)
The advantage of cognitively motivated automatic summarizing is that human users can better understand what happens. This improves acceptability. The basic empirical finding in human summarizers is that they combine a choice of intellectual strategies. We report here on SummIt-BMT (Summarize It in Bone Marrow Transplantation), a prototype system that(More)