We describe a learning-based system that
creates draft reports based on observation
of people preparing such reports in a target domain (conference replanning). The
reports (or briefings) are based on a mix
of text and event data. The latter consist
of task creation and completion actions,
collected from a wide variety of sources
within the target environment. The report
drafting system is part of a larger learningbased cognitive assistant system that improves the quality of its assistance based
on an opportunity to learn from observation. The system can learn to accurately
predict the briefing assembly behavior and
shows significant performance improvements relative to a non-learning system,
demonstrating that it’s possible to create
meaningful verbal descriptions of activity
from event streams.

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