PDF] YAWN: A Semantically Annotated Wikipedia XML Corpus
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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.
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Concept Extraction Using Pointer–Generator Networks and Distant Supervision for Data Augmentation
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PDF] Building Linguistic Corpora from Wikipedia Articles and Discussions
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PDF] YAWN: A Semantically Annotated Wikipedia XML Corpus
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![PDF] YAWN: A Semantically Annotated Wikipedia XML Corpus](https://media.springernature.com/lw685/springer-static/image/chp%3A10.1007%2F978-3-030-45442-5_56/MediaObjects/498007_1_En_56_Fig4_HTML.png)
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PDF) Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics and Writing: Writing Processes and Authoring Aids}
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The language network reliably 'tracks' naturalistic meaningful non-verbal stimuli
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