ROUGE scores of the baseline and the three fine-tuned generative language models_
| Model | rouge1 | rouge2 | rougeL | rougeLsum |
|---|---|---|---|---|
| Baseline | 0.311 | 0.113 | 0.253 | 0.253 |
| BART | 0.447 | 0.221 | 0.402 | 0.402 |
| PEGASUS | 0.337 | 0.145 | 0.276 | 0.276 |
| T5 | 0.403 | 0.188 | 0.360 | 0.360 |
Build neural network models to identify and correct news headlines exaggerating obesity-related scientific findings
By: Ruopeng An, Quinlan Batcheller, Junjie Wang and Yuyi Yang
Language: English
Page range: 88 - 97
Submitted on: Feb 10, 2023
Accepted on: May 27, 2023
Published on: Aug 25, 2023
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2023 Ruopeng An, Quinlan Batcheller, Junjie Wang, Yuyi Yang, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.