Unsupervised Knowledge Extraction for Taxonomies of Concepts from Wikipedia
Eduard Barbu, Massimo Poesio · 2009
A novel method for unsupervised acquisition of knowledge for taxonomies of concepts from raw Wikipedia text is presented. We assume that the concepts classified under the same node in a taxonomy are described in a comparable way in Wikipedia. The concepts in 6 tax-onomies extracted from WordNet are mapped onto Wikipedia pages and the lexico-syntactic patterns describing semantic structures express-ing relevant knowledge for the concepts are au-tomatically learnt.