Information Extraction from ungrammatical and fragmented texts

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With the rapidly growing use of electronic health records, the possibility of large-scale clinical information extraction has drawn much attention. It is not, however, easy to extract information because these reports are written in natural language. To address this problem, this project aimed to develop an information extraction system that handles medical records. We also develop a dummy text data, which could be a helpful material for the future studies.