The use of annotations to explain labels: Comparing results from a human‐rater approach to a deep learning approach.
Background: Deep learning methods, where models do not use explicit features and instead rely on implicit features estimated during model training, suffer from an explainability problem. In text classification, saliency maps that reflect the importance of words in prediction are one approach toward...
| Publicado en: | Journal of Computer Assisted Learning Vol. 39; no. 3; pp. 787 - 804 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2023
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| Acceso en línea: | Ver este registro en EBSCOhost |