Papers by Damir Juric
Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation (2022.acl-long)
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Francesco Moramarco, Alex Papadopoulos Korfiatis, Mark Perera, Damir Juric, Jack Flann, Ehud Reiter, Anya Belz, Aleksandar Savkov
| Challenge: | Recent studies suggest that note generation systems can be used to generate clinical consultation notes from the verbatim transcript of the consultation. |
| Approach: | They propose to use machine learning to generate consultation notes from the verbatim transcript of the consultation to evaluate their effectiveness. |
| Outcome: | The proposed model performs better than common model-based metrics like BertScore and is open-sourced. |