Comparing Wikipedia and German Wordnet by Evaluating Semantic Relatedness on Multiple Datasets
Authors | Torsten Zesch Iryna Gurevych Max Mühlhäuser |
|---|---|
Publication date | 2007 |
DOI | 10.3115/1614108.1614160 |
Links | Original Preprint |
Comparing Wikipedia and German Wordnet by Evaluating Semantic Relatedness on Multiple Datasets - scientific work related to Wikipedia quality published in 2007, written by Torsten Zesch, Iryna Gurevych and Max Mühlhäuser.
Overview
Authors evaluate semantic relatedness measures on different German datasets showing that their performance depends on: (i) the definition of relatedness that was underlying the construction of the evaluation dataset, and (ii) the knowledge source used for computing semantic relatedness. Authors analyze how the underlying knowledge source influences the performance of a measure. Finally, authors investigate the combination of wordnets and Wikipedia to improve the performance of semantic relatedness measures.
Embed
Wikipedia Quality
Zesch, Torsten; Gurevych, Iryna; Mühlhäuser, Max. (2007). "[[Comparing Wikipedia and German Wordnet by Evaluating Semantic Relatedness on Multiple Datasets]]". Association for Computational Linguistics. DOI: 10.3115/1614108.1614160.
English Wikipedia
{{cite journal |last1=Zesch |first1=Torsten |last2=Gurevych |first2=Iryna |last3=Mühlhäuser |first3=Max |title=Comparing Wikipedia and German Wordnet by Evaluating Semantic Relatedness on Multiple Datasets |date=2007 |doi=10.3115/1614108.1614160 |url=https://wikipediaquality.com/wiki/Comparing_Wikipedia_and_German_Wordnet_by_Evaluating_Semantic_Relatedness_on_Multiple_Datasets |journal=Association for Computational Linguistics}}
HTML
Zesch, Torsten; Gurevych, Iryna; Mühlhäuser, Max. (2007). "<a href="https://wikipediaquality.com/wiki/Comparing_Wikipedia_and_German_Wordnet_by_Evaluating_Semantic_Relatedness_on_Multiple_Datasets">Comparing Wikipedia and German Wordnet by Evaluating Semantic Relatedness on Multiple Datasets</a>". Association for Computational Linguistics. DOI: 10.3115/1614108.1614160.
