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.
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Henrich, V., Hinrichs, E. (2013). Extending the TüBa-D/Z Treebank with GermaNet Sense Annotation. In: Gurevych, I., Biemann, C., Zesch, T. (eds) Language Processing and Knowledge in the Web. Lecture Notes in Computer Science(), vol 8105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40722-2_9
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DOI: https://doi.org/10.1007/978-3-642-40722-2_9
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