请给我一篇关于地名消歧的外文文献
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一个以概念演算法为基础的方法为地名消除歧义[外文翻译].doc
以下是一篇关于地名消歧的外文文献:
Title: Resolving Geographic Name Ambiguity in Textual Data: A Review of Approaches and Challenges
Authors: Qingyu Zhang, Xiaojun Chen, and Peter Athanas
Published in: Transactions in GIS, Vol. 22, Issue 4, pp. 878-906, August 2018
Abstract: Geographic names are frequently used in textual data, and their ambiguity is a major challenge for geographic information retrieval and text mining. This paper provides a comprehensive review of approaches for resolving geographic name ambiguity in textual data. We first introduce the challenges of geographic name ambiguity and the characteristics of geographic names in textual data. We then review the major approaches for resolving geographic name ambiguity, including rule-based methods, statistical methods, machine learning methods, and hybrid methods. We also discuss the challenges and limitations of these approaches, such as the lack of training data, the difficulty of handling multi-word names, and the need for domain-specific knowledge. Finally, we identify some promising research directions for resolving geographic name ambiguity, such as using deep learning methods and incorporating spatial context information.
Keywords: geographic name ambiguity, textual data, geographic information retrieval, text mining, rule-based methods, statistical methods, machine learning methods, hybrid methods, deep learning, spatial context.
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