Cross-language article linking with different knowledge bases using bilingual topic model and translation features

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/106547

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106547

Title:	Cross-language article linking with different knowledge bases using bilingual topic model and translation features
Authors:	蔡宗翰;Wang, Yu-Chun;Wu, Chun-Kai;Tsai, Richard Tzong-Han
Contributors:	資訊電機學院資訊工程學系
Keywords:	Bilingual topic model;Cross-language article linking;Link discovery
Date:	2016-11-01
Issue Date:	2026-04-23 13:28:28 (UTC+8)
Publisher:	Elsevier;Elsevier B.V
Abstract:	摘要： Creating links among online encyclopedia articles in different languages is crucial in the construction and integration of large multilingual knowledge bases. Most research to date has focused on linking among different language versions of Wikipedia, yet other large online encyclopedias in a variety of languages exist. In this work, we present a cross-language article-linking method using a bilingual topic model and translation features based on an SVM model to link articles in English Wikipedia and Chinese Baidu Baike, the most widely used Wiki-like encyclopedia in China. To evaluate our approach, we compile data sets from Baidu Baike articles and their corresponding English Wikipedia articles. The evaluation results show that our approach achieves at most 0.8158 in MRR, outperforming the baseline system by 0.1328 (+19.44%) in MRR. Our method does not heavily depend on linguistic characteristics, and it can be easily extended to generate cross-language article links among different online encyclopedias in other languages. 出版者： Elsevier B.V 出版日期： 2016-11-01 出處： Knowledge-based systems, 2016-11, Vol.111, p.228-236 資源來源： Elsevier ScienceDirect Journals Complete 版權： 2016 識別號： ISSN: 0950-7051 識別號： EISSN: 1872-7409 識別號： DOI: 10.1016/j.knosys.2016.08.015
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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