# 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
}
```