YAWN: A Semantically Annotated Wikipedia XML Corpus
作者： Gjergji Kasneci , Fabian M. Suchanek , Ralf Schenkel
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摘要: The paper presents YAWN, a system to convert the well-known and widely used Wikipedia collection into an XML corpus with semantically rich, self-explaining tags. We introduce algorithms annotate pages links concepts from WordNet thesaurus. This annotation process exploits categorical information in Wikipedia, which is high-quality, manually assigned source of information, extracts additional lists, utilizes invocations templates named parameters. give examples how such annotations can be exploited for high-precision queries.
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suchanek.name 参考文章(23)
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