From chunks to function-argument structure : a similarity-based approach

Chunk parsing has focused on the recognition of partial constituent structures at the level of individual chunks. Little attention has been paid to the question of how such partial analyses can be combined into larger st
Chunk parsing has focused on the recognition of partial constituent structures at the level of individual chunks. Little attention has been paid to the question of how such partial analyses can be combined into larger structures for complete utterances. Such larger structures are not only desirable for a deeper syntactic analysis. They also constitute a necessary prerequisite for assigning function-argument structure. The present paper offers a similaritybased algorithm for assigning functional labels such as subject, object, head, complement, etc. to complete syntactic structures on the basis of prechunked input. The evaluation of the algorithm has concentrated on measuring the quality of functional labels. It was performed on a German and an English treebank using two different annotation schemes at the level of function argument structure. The results of 89.73% correct functional labels for German and 90.40%for English validate the general approach.
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Metadaten
Author:Sandra Kübler, Erhard W. Hinrichs
URN:urn:nbn:de:hebis:30-1110564
Document Type:Article
Language:English
Date of Publication (online):2008/10/21
Year of first Publication:2001
Publishing Institution:Univ.-Bibliothek Frankfurt am Main
Release Date:2008/10/21
SWD-Keyword:Deutsch ; Englisch; Satzanlyse
Source:http://jones.ling.indiana.edu/~skuebler/papers/acl01.ps ; Proceedings of ACL-EACL 2001 (Toulouse 2001).
HeBIS PPN:206762968
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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