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This paper presents ongoing efforts on developing Word Sense Disambiguation (WSD) resources for the German language, using GermaNet as a basis. We bootstrap two WSD systems for German. (i) We enrich GermaNet with predominant sense information , following previous unsupervised methods to acquire predominant senses of words. The acquired predominant sense(More)
The comprehension of a word sense is much easier when its usages are illustrated by example sentences in linguistic contexts. Hence, examples are crucially important to better understand the sense of a word in a dictionary. The goal of this research is the semi-automatic enrichment of senses from the German wordnet GermaNet with corpus examples from the(More)
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