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Wikirelate! Computing semantic relatedness using Wikipedia
Abstract Wikipedia provides a knowledge base for coWikipedia provides a knowledge base for computing word relatedness in a more structured fashion than a search engine and with more coverage than WordNet. In this work we present experiments on using Wikipedia for computing semantic relatedness and compare it to WordNet on various benchmarking datasets. Existing relatedness measures perform better using Wikipedia than a baseline given by Google counts, and we show that Wikipedia outperforms WordNet when applied to the largest available dataset designed for that purpose. The best results on this dataset are obtained by integrating Google, WordNet and Wikipedia based measures. We also show that including Wikipedia improves the performance of an NLP application processing naturally occurring texts.tion processing naturally occurring texts.
Added by wikilit team Added on initial load  +
Collected data time dimension Cross-sectional  +
Comments "Existing relatedness measures perform better using Wikipedia than a baseline given by Google counts, and we show that Wikipedia outperforms WordNet when applied to the largest available dataset designed for that purpose." p. 1419
Conclusion Existing relatedness measures perform bettExisting relatedness measures perform better using Wikipedia than a baseline given by Google counts, and we show that Wikipedia outperforms WordNet when applied to the largest available dataset designed for that purpose. The best results on this dataset are obtained by integrating Google, WordNet and Wikipedia based measures. We also show that including Wikipedia improves the performance of an NLP application processing naturally occurring texts.tion processing naturally occurring texts.
Data source Experiment responses  + , Wikipedia pages  +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22Wikirelate%21%2BComputing%2Bsemantic%2Brelatedness%2Busing%2BWikipedia%22  +
Has author Michael Strube + , Simone Paolo Ponzetto +
Has domain Computer science +
Has topic Semantic relatedness +
Pages 1419-1424  +
Peer reviewed Yes  +
Publication type Conference paper  +
Published in AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2 +
Research design Experiment  +
Research questions Wikipedia provides a knowledge base for coWikipedia provides a knowledge base for computing word relatedness in a more structured fashion than a search engine and with more coverage than WordNet. In this work we present experiments on using Wikipedia for computing semantic relatedness and compare it to WordNet on various benchmarking datasets. WordNet on various benchmarking datasets.
Revid 11,104  +
Theories Undetermined
Theory type Design and action  +
Title Wikirelate! Computing semantic relatedness using Wikipedia
Unit of analysis Article  +
Url http://www.aaai.org/Papers/AAAI/2006/AAAI06-223.pdf  +
Wikipedia coverage Case  +
Wikipedia data extraction Dump  +
Wikipedia language English  +
Wikipedia page type Article  + , Information categorization and navigation  +
Year 2006  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:36:42  +
Categories Semantic relatedness  + , Computer science  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:33:06  +
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