Papers by Francesco Giannini
Extending Logic Explained Networks to Text Classification (2022.emnlp-main)
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| Challenge: | Recent studies have proposed explainable-by-design neural models providing logic explanations for their predictions, but these models favour global explanations, while local ones tend to be noisy and verbose. |
| Approach: | They propose to use LENp to improve local explanations by perturbing input words to improve sensitivity and faithfulness of local explanation. |
| Outcome: | The proposed model provides better local explanations than LIME and is more user-friendly than Lime as attested by a human survey. |