Difference between revisions of "Relation Extraction from Wikipedia Articles by Entities Clustering"
(Overview: Relation Extraction from Wikipedia Articles by Entities Clustering) |
(Int.links) |
||
| Line 1: | Line 1: | ||
| − | '''Relation Extraction from Wikipedia Articles by Entities Clustering''' - scientific work related to Wikipedia quality published in 2012, written by Song Liu and Fuji Ren. | + | '''Relation Extraction from Wikipedia Articles by Entities Clustering''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[Song Liu]] and [[Fuji Ren]]. |
== Overview == | == Overview == | ||
| − | Wikipedia is an encyclopedia based on wiki technology. It is multilingual high quality knowledge base. In this work a episode based extraction method are proposed to extract relations from Wikipedia articles. The entities are clustered and labeled. The relation extraction is benefited by the information redundancy provided by the clusters. A strict Wikipedia entities clustering algorithm based on the category system and first sentence of the article is approached. This work required less manual assist. And the relations are abundant. The results are comparable with other works [1, 2]. | + | Wikipedia is an encyclopedia based on wiki technology. It is [[multilingual]] high quality knowledge base. In this work a episode based extraction method are proposed to extract relations from [[Wikipedia]] articles. The entities are clustered and labeled. The relation extraction is benefited by the information redundancy provided by the clusters. A strict Wikipedia entities clustering algorithm based on the category system and first sentence of the article is approached. This work required less manual assist. And the relations are abundant. The results are comparable with other works [1, 2]. |
Revision as of 11:23, 11 July 2019
Relation Extraction from Wikipedia Articles by Entities Clustering - scientific work related to Wikipedia quality published in 2012, written by Song Liu and Fuji Ren.
Overview
Wikipedia is an encyclopedia based on wiki technology. It is multilingual high quality knowledge base. In this work a episode based extraction method are proposed to extract relations from Wikipedia articles. The entities are clustered and labeled. The relation extraction is benefited by the information redundancy provided by the clusters. A strict Wikipedia entities clustering algorithm based on the category system and first sentence of the article is approached. This work required less manual assist. And the relations are abundant. The results are comparable with other works [1, 2].
