A Spoken Drug Prescription Dataset in French for Spoken Language Understanding (2022.lrec-1)
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Ali Can Kocabiyikoglu, François Portet, Prudence Gibert, Hervé Blanchon, Jean-Marc Babouchkine, Gaëtan Gavazzi
| Challenge: | Existing systems for medical drug prescriptions are in text form and in English. |
| Approach: | They propose to provide a natural language interface to a smartphone that would allow medical practitioners to enter their prescriptions orally at the point of care. |
| Outcome: | The proposed system would allow medical practitioners to enter prescriptions orally at the point of care while leaving the system some control to make sure no legal information is forgotten. |
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