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Protein Named Entity Identification Based on Probabilistic Features Derived from GENIA Corpus and Medical Text on the Web

机译：基于源自Genia语料库和Web上的医疗文本的概率特征，蛋白质命名实体识别

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Sagara Sumathipala; Koichi Yamada; Muneyuki Unehara; Izumi Suzuki;
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3. Dictionary and Gene Ontology Based Similarity for Named Entity Relationship Protein-protein Interaction Prediction from Biotext Corpus [J] . Smt K. Prabavathy, P. Sumathi Research journal of applied science, engineering and technology . 2014,第22期

机译：基于字典和基因本体的相似性，用于基于生物文本语料库的命名实体关系蛋白质-蛋白质相互作用预测
4. Protein named entity classification with probabilistic features derived from GENIA corpus and MEDLINE [C] . Sumathipala Sagara, Yamada Koichi, Unehara Muneyuki International Conference on Soft Computing and Intelligent Systems;International Symposium on Advanced Intelligent Systems . 2014

机译：源自GENIA语料库和MEDLINE的具有概率特征的蛋白质命名实体分类
5. Advancing Biomedical Named Entity Recognition with Multivariate Feature Selection and Semantically Motivated Features. [D] . Leaman, James Robert, Jr. 2013

机译：具有多元特征选择和语义动机特征的生物医学命名实体识别。
6. Constructing a Chinese electronic medical record corpus for named entity recognition on resident admit notes [O] . Yan Gao, Lei Gu, Yefeng Wang, 2019

机译：构建中国电子病历语料库以在居民录取通知书上命名实体
7. Recognizing Nested Named Entities in GENIA corpus [O] . Baohua Gu 2006

机译：识别GENIA语料库中的嵌套命名实体

Protein Named Entity Identification Based on Probabilistic Features Derived from GENIA Corpus and Medical Text on the Web

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