Cross-language and cross-encyclopedia article linking using mixed-language topic model and hypernym translation

Yu Chun Wang, Chun Kai Wu, Richard Tzong Han Tsai

研究成果: 書貢獻/報告類型會議論文篇章同行評審

5 引文 斯高帕斯(Scopus)

摘要

Creating cross-language article links among different online encyclopedias is now an important task in the unification of multilingual knowledge bases. In this paper, we propose a cross-language article linking method using a mixed-language topic model and hypernym translation features based on an SVM model to link English Wikipedia and Chinese Baidu Baike, the most widely used Wiki-like encyclopedia in China. To evaluate our approach, we compile a data set from the top 500 Baidu Baike articles and their corresponding English Wiki articles. The evaluation results show that our approach achieves 80.95% in MRR and 87.46% in recall. Our method does not heavily depend on linguistic characteristics and can be easily extended to generate crosslanguage article links among different online encyclopedias in other languages.

原文???core.languages.en_GB???
主出版物標題Long Papers
發行者Association for Computational Linguistics (ACL)
頁面586-591
頁數6
ISBN(列印)9781937284732
DOIs
出版狀態已出版 - 2014
事件52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Baltimore, MD, United States
持續時間: 22 6月 201427 6月 2014

出版系列

名字52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference
2

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???event.eventtypes.event.conference???52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
國家/地區United States
城市Baltimore, MD
期間22/06/1427/06/14

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