Aug. 16, 2022, 1:12 a.m. | Roland Roller, Laura Seiffe, Ammer Ayach, Sebastian Möller, Oliver Marten, Michael Mikhailov, Christoph Alt, Danilo Schmidt, Fabian Halleck, Marc

cs.CL updates on arXiv.org arxiv.org

Background: In the information extraction and natural language processing
domain, accessible datasets are crucial to reproduce and compare results.
Publicly available implementations and tools can serve as benchmark and
facilitate the development of more complex applications. However, in the
context of clinical text processing the number of accessible datasets is scarce
-- and so is the number of existing tools. One of the main reasons is the
sensitivity of the data. This problem is even more evident for non-English
languages. …

arxiv extraction german information information extraction medical process text

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