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Publications (4)
This study presents the outcomes of the shared task competition BioCreative VII (Task 3) focusing on the extraction of medication names from a Twitter user's publicly available tweets (the user's 'timeline'). In general, detecting health-related tweets is notoriously challenging for natural language processing tools. The main challenge, aside from...
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 accessi...
Tools and resources to automatically process clinical text are very limited, particularly outside the English speaking world. As many relevant patient information within electronic health records are described in unstructured text, this is a clear drawback. In order to slightly overcome this problem, we present information extraction models for Ger...
Die meisten Gesprachsversuche mit Migranten, die kein Deutsch oder Englisch sprechen, enden mit Handen und Füsen - und Frust. Das Deutsche Forschungszentrum für Kunstliche Intelligenz (DFKI) hat in Zusammenarbeit mit seiner Spin-off Firma Yocoy eine App entwickelt, die Immigranten aus arabischen Landern den Dialog beispielsweise mit Behorden, auf d...
