| # Scientific Exaggeration Detector | |
| This is the best exaggeration detection model from the paper "Semi-Supervised Exaggeration Detection of Health Science Press Releases" in EMNLP 2021. The model can be used to measure the causal claim strength of a scientific sentence, which can be used to compare two sentences for exaggeration in causal claim strength. Please use the following when citing this work: | |
| ``` | |
| @inproceedings{wright2021exaggeration, | |
| title={{Semi-Supervised Exaggeration Detection of Health Science Press Releases}}, | |
| author={Dustin Wright and Isabelle Augenstein}, | |
| booktitle = {Proceedings of EMNLP}, | |
| publisher = {Association for Computational Linguistics}, | |
| year = 2021 | |
| } | |
| ``` | |