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copenlu/scientific-exaggeration-detection
scientific-exaggeration-detection is a text classification model from copenlu. Use it when you need a label for a piece of text. It is set up for transformers.
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 sci…
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From the Hugging Face model README
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:
arXiv: https://arxiv.org/abs/2108.13493
@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
}