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"Discovering Key Topics From Short, Real-World Medical Inquiries via ..."

Angelo Ziletti et al. (2021)

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DOI: 10.3389/FCOMP.2021.672867

access: open

type: Journal Article

metadata version: 2021-10-25

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  - https://dblp.org/rec/journals/fcomp/ZilettiBTWLKSVR21
Angelo Ziletti, Christoph Berns, Oliver Treichel, Thomas Weber, Jennifer Liang, Stephanie Kammerath, Marion Schwaerzler, Jagatheswari Virayah, David Ruau, Xin Ma, Andreas Mattern:
Discovering Key Topics From Short, Real-World Medical Inquiries via Natural Language Processing. Frontiers Comput. Sci. 3: 672867 (2021)

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