Papers by Madina Hasan
Uncertainty Aware Review Hallucination for Science Article Classification (2021.findings-acl)
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Korbinian Friedl, Georgios Rizos, Lukas Stappen, Madina Hasan, Lucia Specia, Thomas Hain, Björn Schuller
| Challenge: | Existing approaches to peer review support are limited in their use of available information and subjectivity. |
| Approach: | They propose to use aleatory uncertainty and loss importance interpolations to model review representations at test time to provide a realistic evaluation framework. |
| Outcome: | The proposed framework makes better use of the available information and is realistic with respect to the limitations set by the task 1 . |