@inproceedings{pub3874,
    abstract = {The information extraction system iDocument interactively
extracts information from text such as instances and relations with respect
to existing background knowledge. An extraction process creates
weighted recommendations 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. The purpose
of these explanations is to illustrate the evolution of recommendations
for convincing users of their validity. In order to visualise explanations,
our component utilises dierent mechanisms for textual, tabular, and
graphical rendering styles.},
    year = {2008},
    title = {Explanation Styles in iDocument},
    booktitle = {Proceedings of the Third International Workshop on Explanation-aware Computing. International Workshop on Explanation-aware Computing, 3rd, located at 18th European Conference on Artificial Intelligence ECAI 2008, July 21-22, Patras, Greece},
    editor = {Thomas Roth-Berghofer and Stefan Schulz and Daniel Bahls and David B. Leake},
    volume = {39},
    pages = {144-156},
    publisher = {CEUR-WS.org, Aachen},
    author = {Björn Forcher and Benjamin Adrian and Thomas Roth-Berghofer},
    keywords = {explanation, explanation aware computing, idocument, information extraction},
    url = {http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-391/}
}