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  1. No Access

    Chapter and Conference Paper

    Enhancing Biomedical Named Entity Classification Using Terabyte Unlabeled Data

    This paper presents a semi-supervised learning method to enhance biomedical named entity classification using features generated from labeled and terabyte unlabeled data, called Feature Coupling Degree (FCD) f...

    Yanpeng Li, Hongfei Lin, Zhihao Yang in Information Retrieval Technology (2008)

  2. No Access

    Chapter and Conference Paper

    Incorporating Dictionary Features into Conditional Random Fields for Gene/Protein Named Entity Recognition

    Biomedical Named Entity Recognition (BioNER) is an important preliminary step for biomedical text mining. Previous researchers built dictionaries of gene/protein names from online databases and incorporated th...

    Hongfei Lin, Yanpeng Li, Zhihao Yang in Emerging Technologies in Knowledge Discove… (2007)