JOURNAL ARTICLE

Comparing Wikipedia and German wordnet by evaluating semantic relatedness on multiple datasets

Abstract

We 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. We analyze how the underlying knowledge source influences the performance of a measure. Finally, we investigate the combination of wordnets and Wikipedia to improve the performance of semantic relatedness measures.

Keywords:
WordNet Computer science German Semantic similarity Measure (data warehouse) Natural language processing Information retrieval Artificial intelligence Data mining Linguistics

Metrics

51
Cited By
8.92
FWCI (Field Weighted Citation Impact)
9
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Wikis in Education and Collaboration
Social Sciences →  Social Sciences →  Communication

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