Difference between revisions of "Unsupervised Knowledge Extraction for Taxonomies of Concepts from Wikipedia"

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'''Unsupervised Knowledge Extraction for Taxonomies of Concepts from Wikipedia''' - scientific work related to Wikipedia quality published in 2009, written by Eduard Barbu and Massimo Poesio.
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'''Unsupervised Knowledge Extraction for Taxonomies of Concepts from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Eduard Barbu]] and [[Massimo Poesio]].
  
 
== Overview ==
 
== Overview ==
A novel method for unsupervised acquisition of knowledge for taxonomies of concepts from raw Wikipedia text is presented. Authors assume that the concepts classified under the same node in a taxonomy are described in a comparable way in Wikipedia. The concepts in 6 taxonomies extracted from WordNet are mapped onto Wikipedia pages and the lexico-syntactic patterns describing semantic structures expressing relevant knowledge for the concepts are automatically learnt.
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A novel method for unsupervised acquisition of knowledge for taxonomies of concepts from raw [[Wikipedia]] text is presented. Authors assume that the concepts classified under the same node in a taxonomy are described in a comparable way in Wikipedia. The concepts in 6 taxonomies extracted from [[WordNet]] are mapped onto Wikipedia pages and the lexico-syntactic patterns describing semantic structures expressing relevant knowledge for the concepts are automatically learnt.

Revision as of 10:57, 28 May 2019

Unsupervised Knowledge Extraction for Taxonomies of Concepts from Wikipedia - scientific work related to Wikipedia quality published in 2009, written by Eduard Barbu and Massimo Poesio.

Overview

A novel method for unsupervised acquisition of knowledge for taxonomies of concepts from raw Wikipedia text is presented. Authors assume that the concepts classified under the same node in a taxonomy are described in a comparable way in Wikipedia. The concepts in 6 taxonomies extracted from WordNet are mapped onto Wikipedia pages and the lexico-syntactic patterns describing semantic structures expressing relevant knowledge for the concepts are automatically learnt.