Analysis of the Wikipedia category graph for NLP applications
|Conference paper (help)|
|Analysis of the Wikipedia category graph for NLP applications|
|Authors:||Torsten Zesch, Iryna Gurevych|
|Citation:||Proceedings of the Second Workshop on TextGraphs: Graph-Based Algorithms for Natural Language Processing : 1-8. 2007|
|Publisher:||Association for Computational Linguistics, Rochester, NY, USA|
|Meeting:||Second Workshop on TextGraphs: Graph-Based Algorithms for Natural Language Processing|
|Web:||DuckDuckGo Bing Google Yahoo! — Google PDF|
|Article:||Google Scholar PubMed|
|Restricted:||DTU Digital Library|
Analysis of the Wikipedia category graph for NLP applications.
Description of the use of the Wikipedia category graph for determining semantic relatedness. Several different similarity and distance measures on the graph are examined on several human labeled datasets from the German Wikipedia. Graph characteristics (average shortest path, cluster coefficient and power law exponent) are also shown.