Extending the TüBa-D/Z treebank with GermaNet sense annotation

Abstract

This paper describes the manual construction of a sense-annotated corpus for German with the goal of providing a gold standard for word sense disambiguation. The underlying textual resource, the TüBa-D/Z treebank, is a German newspaper corpus already manually enriched with high-quality, manual annotations at various levels of grammar. The sense inventory used for tagging word senses is taken from GermaNet [8,9], the German counterpart of the Princeton WordNet for English [6]. With the sense annotation for a selected set of 109 words (30 nouns and 79 verbs) occurring together more than 15 500 times in the TüBa-D/Z, the treebank currently represents the largest manually sense-annotated corpus available for GermaNet. © 2013 Springer-Verlag.