@inproceedings{6e73796d7658439791bbf55add42001f,
title = "Cross-language and cross-encyclopedia article linking using mixed-language topic model and hypernym translation",
abstract = "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.",
author = "Wang, {Yu Chun} and Wu, {Chun Kai} and Tsai, {Richard Tzong Han}",
year = "2014",
doi = "10.3115/v1/p14-2096",
language = "???core.languages.en_GB???",
isbn = "9781937284732",
series = "52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "586--591",
booktitle = "Long Papers",
note = "52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 ; Conference date: 22-06-2014 Through 27-06-2014",
}