Difference between revisions of "Unsupervised Knowledge Extraction for Taxonomies of Concepts from Wikipedia"
(Creating a new page - Unsupervised Knowledge Extraction for Taxonomies of Concepts from Wikipedia) |
(+ links) |
||
Line 1: | Line 1: | ||
− | '''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. | + | '''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. | + | 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.