Relation Extraction from Wikipedia Articles by Entities Clustering

From Wikipedia Quality
Revision as of 08:52, 31 May 2019 by Hanna (talk | contribs) (Overview: Relation Extraction from Wikipedia Articles by Entities Clustering)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search

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].