PDF] YAWN: A Semantically Annotated Wikipedia XML Corpus
Por um escritor misterioso
Descrição
YAWN, a system to convert the well-known and widely used Wikipedia collection into an XML corpus with semantically rich, self-explaining tags, is presented. 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 to annotate pages and links with concepts from the WordNet thesaurus. This annotation process exploits categorical information in Wikipedia, which is a high-quality, manually assigned source of information, extracts additional information from lists, and utilizes the invocations of templates with named parameters. We give examples how such annotations can be exploited for high-precision queries.
![PDF] YAWN: A Semantically Annotated Wikipedia XML Corpus](https://imgv2-1-f.scribdassets.com/img/document/515916273/original/ee396d3f39/1698867271?v=1)
Debabala Swain Machine Learning and Information 2020, PDF, Artificial Intelligence
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Characterizing the hypergraph-of-entity and the structural impact of its extensions, Applied Network Science
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