A Method of Same Name Disambiguation towards Literature Search

Pengfei Lei, Yukun Li, Pengcheng Tian, Li Liu, Dexin Zhao
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Abstract

The issue that many authors share the same name results in many problems for paper search and the study of the Scientists Collaboration Network. In this paper, we study the problem of name ambiguities towards author-based search, propose a framework on same name disambiguation towards literatures searching, and propose a method to classify author-based searching results based on researchers of the real world. The experimental results show the effectiveness of the methods we proposed.
文献检索中一种同名消歧方法
许多作者使用同一个名字的问题给论文检索和科学家合作网络的研究带来了许多问题。本文研究了基于作者的检索中人名歧义问题,提出了基于文献检索的人名消歧义框架,并提出了一种基于现实世界研究人员的基于作者的检索结果分类方法。实验结果表明了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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