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Jan 5, 2018 · In this paper, we propose an efficient and effective Cross-Lingual Entity Matching approach (CL-EM) to enrich the existing cross-lingual links ...
This paper aims to map the entities in LLs to these in high-resource languages (HLs) so that many knowledge such as relation between entities can be ...
In this article, we argue that the value of collaborative user-generated content is a function both of the direct efforts of its contributors and its ...
The task of enriching cross-lingual links is to find articles in different languages but representing the same real-world object between multilingual Wikis.
ABSTRACT. Given an entity in a source domain, finding its matched entities from another (target) domain is an important task in many appli- cations.
Cross-Lingual Entity Matching for Heterogeneous Online Wikis · 来自semanticscholar. 作者. W Lu，P Wang，H Wang，J Liu，H Dai... 收藏. 全部来源 免费下载 求助全文.
Multilingual knowledge graphs (KGs), such as YAGO and DBpedia, represent entities in different languages. The task of cross-lingual entity matching is to ...
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The task of enriching cross-lingual links is to find articles in different languages but representing the same real-world object between multilingual Wikis.
In this paper, we propose a new cross-lingual entity matching method (called CLEM) with knowledge graph representation learning on rich multi-modal information.
Missing: Wikis. | Show results with:Wikis.
Oct 19, 2012 · Cross-lingual Entity Matching and Infobox ... This heterogeneity makes an effective determination of ... Web Search and Data Mining (WSDM), 2009, pp ...