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Towards a Linking between WordNet and Wikidata

机译:朝着Wordnet和Wikidata之间的链接

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WordNet is the most widely used lexical resource for English, while Wikidata is one of the largest knowledge graphs of entity and concepts available. While, there is a clear difference in the focus of these two resources, there is also a significant overlap and as such a complete linking of these resources would have many uses. We propose the development of such a linking, first by means of the hapax legomenon links and secondly by the use of natural language processing techniques. We show that these can be done with high accuracy but that human validation is still necessary. This has resulted in over 9,000 links being added between these two resources.
机译:WordNet是最广泛使用的英语词汇资源,而Wikidata是实体和概念的最大知识图之一。 虽然,这两个资源的焦点存在明显的差异,但也存在显着的重叠,并且随着这些资源的完整链接将有很多用途。 我们建议首先通过使用自然语言处理技术的HAPAX legomenon链接来开发这种连接,首先通过Hapax legomenon链接。 我们表明这些可以高精度地完成,但仍然需要人力验证。 这导致这两个资源之间添加了超过9,000个链接。

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