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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.
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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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.
The task of enriching cross-lingual links is to find articles in different languages but representing the same real-world object between multilingual Wikis.
cross-lingual knowledge validation based taxonomy deriva- tion from heterogeneous online wikis. Based on the found cross-lingual links by Wang et al. (2012 ...
A hybrid approach that exploits anchor strength, topic relevance and entity knowledge graph to automatically discovery cross-lingual links is proposed and ...