  Allowing users to interact with multi-document summarizers is a promising
direction towards improving and customizing summary results. Different ideas
for interactive summarization have been proposed in previous work but these
solutions are highly divergent and incomparable. In this paper, we develop an
end-to-end evaluation framework for expansion-based interactive summarization,
which considers the accumulating information along an interactive session. Our
framework includes a procedure of collecting real user sessions and evaluation
measures relying on standards, but adapted to reflect interaction. All of our
solutions are intended to be released publicly as a benchmark, allowing
comparison of future developments in interactive summarization. We demonstrate
the use of our framework by evaluating and comparing baseline implementations
that we developed for this purpose, which will serve as part of our benchmark.
Our extensive experimentation and analysis of these systems motivate our design
choices and support the viability of our framework.

Computation and Language