5 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.CL2022★ 5 cited
A Medical Information Extraction Workbench to Process German Clinical Text
Roland Roller, Laura Seiffe, Ammer Ayach +9
Background: In the information extraction and natural language processing domain, accessible datasets are crucial to reproduce and compare results. Publicly available implementatio…
cs.CL2020★ 1 cited
From Witch's Shot to Music Making Bones -- Resources for Medical Laymen to Technical Language and Vice Versa
Laura Seiffe, Oliver Marten, Michael Mikhailov +3
Many people share information in social media or forums, like food they eat, sports activities they do or events which have been visited. This also applies to information about a p…
cs.CL2017
Making Neural QA as Simple as Possible but not Simpler
Dirk Weissenborn, Georg Wiese, Laura Seiffe
Recent development of large-scale question answering (QA) datasets triggered a substantial amount of research into end-to-end neural architectures for QA. Increasingly complex syst…