PDF] YAWN: A Semantically Annotated Wikipedia XML Corpus

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) Hypergraph-of-entity

Publishing Scholarly Editions

PDF] Hypergraph Modelization of a Syntactically Annotated English Wikipedia Dump

SWEETpediaAI3:::Adaptive InformationAI3:::Adaptive Information

99 Wikipedia Sources Aiding the Semantic WebAI3:::Adaptive InformationAI3:::Adaptive Information

PDF) Hypergraph-of-entity

Characterizing the hypergraph-of-entity and the structural impact of its extensions, Applied Network Science

PDF) Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics and Writing: Writing Processes and Authoring Aids}

CryptoPunkets #800 - CryptoPunkets

The language network reliably 'tracks' naturalistic meaningful non-verbal stimuli

PDF] Hypergraph Modelization of a Syntactically Annotated English Wikipedia Dump

PDF) Overview of the INEX 2010 Question Answering Track (QA@INEX)

Publishing Scholarly Editions

PDF) The Methodology of Manual Assessment in the Evaluation of Link Discovery