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Author Name Disambiguation in MEDLINE Based on Journal Descriptors and Semantic Types

机译:基于期刊描述符和语义类型的MEDLINE中的作者姓名歧义消除

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摘要

Author name disambiguation (AND) in publication and citation resources is a well-known problem. Often, information about email address and other details in the affiliation is missing. In cases where such information is not available, identifying the authorship of publications becomes very challenging. Consequently, there have been attempts to resolve such cases by utilizing external resources as references. However, such external resources are heterogeneous and are not always reliable regarding the correctness of information. To solve the AND task, especially when information about an author is not complete we suggest the use of new features such as journal descriptors (JD) and semantic types (ST). The evaluation of different feature models shows that their inclusion has an impact equivalent to that of other important features such as email address. Using such features we show that our system outperforms the state of the art.
机译:出版物和引用资源中的作者姓名歧义消除(AND)是一个众所周知的问题。通常,有关附属机构中电子邮件地址和其他详细信息的信息会丢失。在没有此类信息的情况下,确定出版物的作者身份将变得非常困难。因此,已经尝试通过利用外部资源作为参考来解决这种情况。但是,这种外部资源是异构的,并且在信息的正确性方面并不总是可靠的。为了解决AND任务,特别是当有关作者的信息不完整时,我们建议使用新功能,例如期刊描述符(JD)和语义类型(ST)。对不同功能模型的评估表明,它们的包含具有与其他重要功能(例如电子邮件地址)相同的影响。使用这些功能,我们表明我们的系统优于最新技术。

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  • 来源
  • 会议地点 Osaka(JP)
  • 作者单位

    Roche Pharmaceutical Research and Early Development, pRED Informatics, Roche Innovation Center, Basel, Switzerland and Swiss Institute of Bioinformatics, Switzerland;

    Roche Pharmaceutical Research and Early Development, pRED Informatics, Roche Innovation Center, Basel, Switzerland;

    Novartis Pharmaceuticals, Basel, Switzerland;

    Institute of Computational Linguistics University of Zurich and Swiss Institute of Bioinformatics, Switzerland;

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  • 正文语种 eng
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