Cross-Language Semantic Relatedness

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Cross-Language Semantic Relatedness is included as keyword or extra keyword in 0 datasets, 0 tools and 1 publications.


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Title Author(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Cross-lingual recommendations in a resource-based learning scenario Schmidt S.
Scholl P.
Rensing C.
Steinmetz R.
Lecture Notes in Computer Science English 2011 CROKODIL is a platform supporting resource-based learning scenarios for self-directed, on-task learning with web resources. As CROKODIL enables the forming of possibly large learning communities, the stored data is growing in a large scale. Thus, an appropriate recommendation of tags and learning resources becomes increasingly important for supporting learners. We propose semantic relatedness between tags and resources as a basis of recommendation and identify Explicit Semantic Analysis (ESA) using Wikipedia as reference corpus as a viable option. However, data from CROKODIL shows that tags and resources are often composed in different languages. Thus, a monolingual approach to provide recommendations is not applicable in CROKODIL. Thus, we examine strategies for providing mappings between different languages, extending ESA to provide cross-lingual capabilities. Specifically, we present mapping strategies that utilize additional semantic information contained in Wikipedia. Based on CROKODIL's application scenario, we present an evaluation design and show results of cross-lingual ESA. 0 0