基于期刊描述符和语义类型的MEDLINE作者姓名消歧

D. Vishnyakova, Raul Rodriguez-Esteban, K. Ozol, Fabio Rinaldi
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引用次数: 11

摘要

在出版和引文资源中,作者姓名消歧是一个众所周知的问题。通常情况下,关于电子邮件地址和其他细节的信息都是缺失的。在无法获得此类信息的情况下,确定出版物的作者身份就变得非常具有挑战性。因此,曾试图利用外部资源作为参考来解决这类案件。然而,这些外部资源是异构的,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,特别是当作者的信息不完整时,我们建议使用新的特性,如期刊描述符(JD)和语义类型(ST)。对不同特征模型的评估表明,它们的纳入与其他重要特征(如电子邮件地址)的影响相当。通过使用这些特征,我们可以证明我们的系统优于目前的技术水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Author Name Disambiguation in MEDLINE Based on Journal Descriptors and Semantic Types
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.
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