From phrase structure to dependencies, and back

Transforming constituent-based annotation into dependency-based annotation has been shown to work for different treebanks and annotation schemes (e.g. Lin (1995) has transformed the Penn treebank, and Kübler and Telljoha
Transforming constituent-based annotation into dependency-based annotation has been shown to work for different treebanks and annotation schemes (e.g. Lin (1995) has transformed the Penn treebank, and Kübler and Telljohann (2002) the Tübinger Baumbank des Deutschen (TüBa-D/Z)). These ventures are usually triggered by the conflict between theory-neutral annotation, that targets most needs of a wider audience, and theory-specific annotation, that provides more fine-grained information for a smaller audience. As a compromise, it has been pointed out that treebanks can be designed to support more than one theory from the start (Nivre, 2003). We argue that information can also be added to an existing annotation scheme so that it supports additional theory-specific annotations. We also argue that such a transformation is useful for improving and extending the original annotation scheme with respect to both ambiguous annotation and annotation errors. We show this by analysing problems that arise when generating dependency information from the constituent-based TüBa-D/Z.
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Metadaten
Author:Tylman Ule, Sandra Kübler
URN:urn:nbn:de:hebis:30-1110570
Document Type:Article
Language:English
Date of Publication (online):2008/10/21
Year of first Publication:2004
Publishing Institution:Univ.-Bibliothek Frankfurt am Main
Release Date:2008/10/21
SWD-Keyword:Satzanalyse
Source:http://jones.ling.indiana.edu/~skuebler/papers/uk04evid.pdf ; Proceedings of the International Conference on Linguistic Evidence (Tübingen 2004).
HeBIS PPN:206763263
Dewey Decimal Classification:400 Sprache
Sammlungen:Linguistik
Linguistic-Classification:Linguistik-Klassifikation: Computerlinguistik / Computational linguistics
Licence (German):License Logo Veröffentlichungsvertrag für Publikationen

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