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Cross-lingual link discovery between chinese and english wiki knowledge bases.
| Content Provider | CiteSeerX |
|---|---|
| Author | Miao, Qingliang Lu, Huayu Zhang, Shu Meng, Yao |
| Abstract | Wikipedia is an online multilingual encyclopedia that contains a very large number of articles covering most written languages. However, one critical issue for Wikipedia is that the pages in different languages are rarely linked except for the cross-lingual link between pages about the same subject. This could pose serious difficulties to humans and machines who try to seek information from different lingual sources. In order to address above issue, we propose a hybrid approach that exploits anchor strength, topic relevance and entity knowledge graph to automatically discovery cross-lingual links. In addition, we develop CELD, a system for automatically linking key terms in Chinese documents with English Concepts. As demonstrated in the experiment evaluation, the proposed model outperforms several baselines on the NTCIR data set, which has been designed especially for the cross-lingual link discovery evaluation. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Cross-lingual Link Discovery English Wiki Knowledge Base Cross-lingual Link Critical Issue Hybrid Approach Serious Difficulty Experiment Evaluation Several Baseline Different Lingual Source Ntcir Data Set Anchor Strength Chinese Document Cross-lingual Link Discovery Evaluation Online Multilingual Encyclopedia Large Number Different Language English Concept Key Term Topic Relevance |
| Content Type | Text |
