PubTator: a web-based text mining tool for assisting biocuration.
PubTator: a web-based text mining tool for assisting biocuration.
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DOI：
10.1093/nar/gkt441
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发表时间：
2013-07
影响因子：
14.9
通讯作者：
Lu Z
中科院分区：
文献类型：
--
作者：
Wei CH;Kao HY;Lu Z
将生物医学文献中的知识手动整理到结构化数据库中是非常昂贵和耗时的，因此很难跟上文献的快速增长。因此，迫切需要用自动化文本挖掘工具来帮助biocuration。在这里，我们描述PubTator，一个基于Web的系统，用于协助biocuration。PubTator与现有的几个工具不同，它具有类似PubMed的界面，许多生物学家都很熟悉，并配备了多个挑战获胜的文本挖掘算法，以确保其自动结果的质量。通过与两个外部用户组的正式评估，PubTator被证明能够提高手动策展的效率和准确性。PubTator可在http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/Demo/PubTator/上公开获取。
Manually curating knowledge from biomedical literature into structured databases is highly expensive and time-consuming, making it difficult to keep pace with the rapid growth of the literature. There is therefore a pressing need to assist biocuration with automated text mining tools. Here, we describe PubTator, a web-based system for assisting biocuration. PubTator is different from the few existing tools by featuring a PubMed-like interface, which many biocurators find familiar, and being equipped with multiple challenge-winning text mining algorithms to ensure the quality of its automatic results. Through a formal evaluation with two external user groups, PubTator was shown to be capable of improving both the efficiency and accuracy of manual curation. PubTator is publicly available at http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/Demo/PubTator/.
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影响因子：
3
作者：
Van Auken K;Jaffery J;Chan J;Müller HM;Sternberg PW
通讯作者：
Sternberg PW
影响因子：
9.5
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Leser, Ulf
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作者：
Wei CH;Kao HY;Lu Z
通讯作者：
Lu Z