%0 Conference Paper %1 ZeschGurevych2007analysis %A Zesch, Torsten %A Gurevych, Iryna %B Proceedings of the TextGraphs-2 Workshop (NAACL-HLT 2007) %D 2007 %K Wikipedia analysis articles.graphs graph mining read wiktionary %P 1--8 %T Analysis of the Wikipedia Category Graph for NLP Applications %U http://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2007/hlt-textgraphs.pdf %X In this paper, we discuss two graphs in Wikipedia (i) the article graph, and (ii) the category graph. We perform a graphtheoretic 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.

@inproceedings{ZeschGurevych2007analysis, abstract = {In this paper, we discuss two graphs in Wikipedia (i) the article graph, and (ii) the category graph. We perform a graphtheoretic 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. }, added-at = {2009-01-22T10:44:10.000+0100}, author = {Zesch, Torsten and Gurevych, Iryna}, biburl = {https://www.bibsonomy.org/bibtex/249f110d41a33c45a000d2ef93ace82c6/anneba}, booktitle = {Proceedings of the TextGraphs-2 Workshop (NAACL-HLT 2007)}, description = {from www.ukp.tu-darmstadt.de}, interhash = {0401e62edb9bfa85dd498cb40301c0cb}, intrahash = {49f110d41a33c45a000d2ef93ace82c6}, keywords = {Wikipedia analysis articles.graphs graph mining read wiktionary}, month = Jan, pages = {1--8}, timestamp = {2009-03-02T14:17:10.000+0100}, title = {Analysis of the Wikipedia Category Graph for NLP Applications}, url = {http://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2007/hlt-textgraphs.pdf}, year = 2007 }