Christopher Wolfe


GisPy: A Tool for Measuring Gist Inference Score in Text
Pedram Hosseini | Christopher Wolfe | Mona Diab | David Broniatowski
Proceedings of the 4th Workshop of Narrative Understanding (WNU2022)

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 opensource 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: //