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pro vyhledávání: '"Kocabiyikoglu, Ali Can"'
Autor:
Kocabiyikoglu, Ali Can, Portet, François, Babouchkine, Jean-Marc, Gibert, Prudence, Blanchon, Hervé, Gavazzi, Gaëtan
Hospital information systems (HIS) have become an essential part of healthcare institutions and now incorporate prescribing support software. Prescription support software allows for structured information capture, which improves the safety, appropri
Externí odkaz:
http://arxiv.org/abs/2311.03510
Autor:
Kocabiyikoglu, Ali Can, Portet, François, Gibert, Prudence, Blanchon, Hervé, Babouchkine, Jean-Marc, Gavazzi, Gaëtan
Spoken medical dialogue systems are increasingly attracting interest to enhance access to healthcare services and improve quality and traceability of patient care. In this paper, we focus on medical drug prescriptions acquired on smartphones through
Externí odkaz:
http://arxiv.org/abs/2207.08292
Drug prescriptions are essential information that must be encoded in electronic medical records. However, much of this information is hidden within free-text reports. This is why the medication extraction task has emerged. To date, most of the resear
Externí odkaz:
http://arxiv.org/abs/2110.10213
We investigate end-to-end speech-to-text translation on a corpus of audiobooks specifically augmented for this task. Previous works investigated the extreme case where source language transcription is not available during learning nor decoding, but w
Externí odkaz:
http://arxiv.org/abs/1802.04200
Recent works in spoken language translation (SLT) have attempted to build end-to-end speech-to-text translation without using source language transcription during learning or decoding. However, while large quantities of parallel texts (such as Europa
Externí odkaz:
http://arxiv.org/abs/1802.03142