  The number of scientific articles has grown rapidly over the years and there
are no signs that this growth will slow down in the near future. Because of
this, it becomes increasingly difficult to keep up with the latest developments
in a scientific field. To address this problem, we present here an approach to
help researchers learn about the latest developments and findings by extracting
in a normalized form core claims from scientific articles. This normalized
representation is a controlled natural language of English sentences called
AIDA, which has been proposed in previous work as a method to formally
structure and organize scientific findings and discourse. We show how such AIDA
sentences can be automatically extracted by detecting the core claim of an
article, checking for AIDA compliance, and - if necessary - transforming it
into a compliant sentence. While our algorithm is still far from perfect, our
results indicate that the different steps are feasible and they support the
claim that AIDA sentences might be a promising approach to improve scientific
communication in the future.
