Publikation
Explanations in the information extraction system iDocument
Björn Forcher; Benjamin Adrian; Thomas Roth-Berghofer
In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. Schwerpunkt: Erklärungen, No. 2/08, Pages 32-34, Böttcher IT, 5/2008.
Zusammenfassung
The information extraction system iDocument
interactively extracts information
from texts such as instances and relations with respect to existing
background knowledge. An extraction process creates weighted
hypotheses describing indications of relevant information.
During execution, each process step records its output into an
instantiated process model. We reused these bits of information
for generating conceptual, functional
as well as causal explanations. In order to visualise explanations,
our component utilises different mechanisms for textual,
explorative, and pictorial rendering styles.