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Computational Linguistics University Duisburg-Essen

By Marc Rössler and Duisburg Germany


In this paper, we report the adaptation of a named entity recognition (NER) system to the biomedical domain in order to participate in the ”Shared Task Bio-Entity Recognition”. The system is originally developed for German NER that shares characteristics with the biomedical task. To facilitate adaptability, the system is knowledge-poor and utilizes unlabeled data. Investigating the adaptability of the single components and the enhancements necessary, we get insights into the task of bioentity recognition.

Year: 2011
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