A CRF-Based System for Recognizing Chemical Entities in Biomedical Literature
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چکیده
One of tasks of the BioCreative IV competition, the CHEMDNER task, includes two subtasks: CEM and CDI. We participated in the later subtask, and developed a CEM recognition system on the basis of CRF approach and some open-source NLP toolkits. Our system processing pipeline consists of three major components: pre-processing (sentence detection, tokenization), recognition (CRF-based approach), and post-processing (rule-based approach and format conversion).
منابع مشابه
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تاریخ انتشار 2013