]> BibSonomy publications for /bibtex/2332ed720a72bf069275f93485432314b/brightbyte http://www.bibsonomy.org/burst/bibtex/2332ed720a72bf069275f93485432314b/brightbyte BibSonomy BuRST Feed for /bibtex/2332ed720a72bf069275f93485432314b/brightbyte 2008-09-06T22:03:34+02:00 Analysis of the Wikipedia Category Graph for NLP Applications stuff from citeyoulikehttp://www.bibsonomy.org/bibtex/2332ed720a72bf069275f93485432314b/brightbyte brightbyte 2008-02-10T02:19:38+01:00 READ WW-MUST nlp relatedness semantic wikipedia
Analysis of the Wikipedia Category Graph for NLP Applications
Torsten Zesch and Iryna Gurevych Proceedings of the TextGraphs-2 Workshop (NAACL-HLT) (2007)
to READ WW-MUST nlp relatedness semantic wikipedia on 2008-02-10 02:19:38 ]]> Proceedings of the TextGraphs-2 Workshop (NAACL-HLT)Analysis of the Wikipedia Category Graph for NLP Applications2007READ WW-MUST nlp relatedness semantic wikipedia 2008-02-10 02:19:38.0In this paper, we discuss two graphs in Wikipedia (i) the article graph, and (ii) the category graph. We perform a graph-theoretic analysis of the category graph, and show that it is a scale-free, small world graph like other well-known lexical semantic networks. We substantiate our findings by transferring semantic relatedness algorithms defined on WordNet to the Wikipedia category graph. To assess the usefulness of the category graph as an NLP resource, we analyze its coverage and the performance of the transferred semantic relatedness algorithms.