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 language processing. As most studies only use a certain Wikipedia snapshot, the influence of Wikipedia’s massive growth on the results is largely unknown. For the first time, we perform an in-depth analysis of this influence using semantic relatedness as an example application that tests a wide range of Wikipedia’s properties. We find that the growth of Wikipedia has almost no effect on the correlation of semantic relatedness measures with human judgments, while the coverage steadily increases. |
| 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 |
Slides |
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 International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |