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Computational Linguistics
Using wiktionary for computing semantic relatedness
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
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Wiktionary and NLP: improving synonymy networks
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Uby: a large-scale unified lexical-semantic resource based on LMF
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Language Resources and Evaluation
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In this paper, we analyze the topology and the content of a range of lexical semantic resources for the German language constructed either in a controlled (GermaNet), semi-controlled (OpenThesaurus), or collaborative, i.e. community-based, manner (Wiktionary). For the first time, the comparison of the corresponding resources is performed at the word sense level. For this purpose, the word senses of terms are automatically disambiguated in Wiktionary and the content of all resources is converted to a uniform representation. We show that the resources' topology is well comparable as they share the small world property and contain a comparable number of entries, although differences in their connectivity exist. Our study of content related properties reveals that the German Wiktionary has a different distribution of word senses and contains more polysemous entries than both other resources. We identify that each resource contains the highest number of a particular type of semantic relation. We finally increase the number of relations in Wiktionary by considering symmetric and inverse relations that have been found to be usually absent in this resource.