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Indexed by:期刊论文

Date of Publication:2011-10-01

Journal:INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL

Included Journals:Scopus、SCIE

Volume:14

Issue:10

Page Number:3527-3536

ISSN No.:1343-4500

Key Words:biomedical named entity recognition; staged and distributed strategy; dictionary-based tagging; machine learning-based recognition

Abstract:This paper proposes a staged and distributed strategy for biomedical named entity recognition (Bio-NER). In this strategy, named entities (NEs) are recognized in two stages: dictionary-based NE tagging and machine learning-based NE recognition. In dictionary-based tagging stage, we exploit a distributed strategy to recognize NEs, in which different models and NE dictionaries are used for recognizing different NEs. This strategy not only exploits strengths of dictionary-based model and machine learning-based model, but also improves the performance and speed of identification. Experimental results show that our approach achieves higher accuracy than previous approaches.