Klaus Suttner

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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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