Summary of the paper
| Title | The More the Better? Assessing the Influence of Wikipedia’s Growth on Semantic Relatedness Measures |
|---|---|
| Authors | Torsten Zesch and Iryna Gurevych |
| Abstract | Wikipedia has been used as a knowledge source in many areas of natural languageprocessing. As most studies only use a certain Wikipedia snapshot, theinfluence of Wikipedia’s massive growth on the results is largely unknown.For the first time, we perform an in-depth analysis of this influence usingsemantic relatedness as an example application that tests a wide range ofWikipedia’s properties.We find that the growth of Wikipedia has almost no effect on the correlation ofsemantic relatedness measures with human judgments, while the coverage steadilyincreases. |
| Language | Validation of LRs |
| Topics | Semantics, Lexicon, lexical database, Validation of LRs |
Full paper  |
The More the Better? Assessing the Influence of Wikipedia’s Growth on Semantic Relatedness Measures |
| Bibtex | @InProceedings{ZESCH10.93, author = {Torsten Zesch and Iryna Gurevych}, title = {The More the Better? Assessing the Influence of Wikipedia’s Growth on Semantic Relatedness Measures}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |