Build neural network models to identify and correct news headlines exaggerating obesity-related scientific findings
Ruopeng An
Brown School, Washington University in St. LouisMissouri, United States
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, , y 25 ago 2023
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Categoría del artículo: Research Notes
Publicado en línea: 25 ago 2023
Páginas: 88 - 97
Recibido: 10 feb 2023
Aceptado: 27 may 2023
DOI: https://doi.org/10.2478/jdis-2023-0014
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© 2023 Ruopeng An et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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 |