  Decision making theories such as Fuzzy-Trace Theory (FTT) suggest that
individuals tend to rely on gist, or bottom-line meaning, in the text when
making decisions. In this work, we delineate the process of developing GisPy,
an open-source tool in Python for measuring the Gist Inference Score (GIS) in
text. Evaluation of GisPy on documents in three benchmarks from the news and
scientific text domains demonstrates that scores generated by our tool
significantly distinguish low vs. high gist documents. Our tool is publicly
available to use at: https://github.com/phosseini/GisPy.
