DFKI-LT - Customizing GermaNet for the Use in Deep Linguistic Processing

Melanie Siegel, Feiyu Xu, GŁnter Neumann
Customizing GermaNet for the Use in Deep Linguistic Processing
3 Workshop on WordNet and Other Lexical Resources: Applications, Extensions and Customizations. 2nd Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL '01), June 2-7, Pages 165-167, o.A., Pittsburgh, Philadelphia, USA, 2001
 
In this paper we show an approach to the customization of GermaNet to the German HPSG grammar lexicon developed in the Verbmobil project. GermaNet has a broad coverage of the German base vocabulary and fine grained semantic classification, while the HPSG grammar lexicon is comparatively small und has a coarse-grained semantic classification. In our approach, we have developed a mapping algorithm to relate the synsets in GermaNet with the semantic sorts in HPSG. The evaluation result shows that this approach is useful for the lexical extension of our deep grammar development to cope with real-world text understanding.
 
Files: BibTeX, NAACL2001.pdf