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- W2340001675 abstract "We present an information extraction system for patient records which has been submitted to the ShARe/CLEF eHealth Evalua- tion Lab 2014 Task 2. The task was information extraction from clinical text in terms of a disease/disorder template lling process. The system uses a lexicalized parser to annotate grammatical relations between dis- eases, disorders, and other constituents on a sentence level. Grammatical pattern matching rules are applied in order to annotate the specics of individual disease/disorder cases. High accuracy is most important for clinical decision support; the comparative results suggest that a deep parsing approach is suitable for this task, as we achieved acc = 0:822 and acc = 0:804 for the two runs of the system." @default.
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- W2340001675 date "2014-01-01" @default.
- W2340001675 modified "2023-09-23" @default.
- W2340001675 title "Deep Parsing at the CLEF2014 IE Task (DFKI-Medical)" @default.
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