Customizing GermaNet for the Use in Deep Linguistic Processing

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.

Metadaten
Author:Melanie Siegel, Feiyu Xu, Günter Neumann
URN:urn:nbn:de:hebis:30:3-236831
Parent Title (English):Proceedings of the NAACL 2001 Workshop, "WordNet and Other Lexical Resources: Applications, Extensions and Customizations" : Pittsburgh,USA, July 2001
Document Type:Conference Proceeding
Language:English
Date of Publication (online):21.12.2011
Year of first Publication:2001
Publishing Institution:Univ.-Bibliothek Frankfurt am Main
SWD-Keyword:Computerlinguistik; Maschinelle Übersetzung
Pagenumber:3
First Page:165
Last Page:167
Institutes:Extern
Dewey Decimal Classification:418 Standardsprache; Angewandte Linguistik
Sammlungen:Linguistik
Linguistik-Klassifikation:Linguistik-Klassifikation: Computerlinguistik / Computational linguistics
Licence (German):License Logo Veröffentlichungsvertrag für Publikationen ohne Print on Demand

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