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Robuste Auszeichnung Grammatischer Funktionen
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Manfred Klenner
Published/Copyright:
December 4, 2007
Abstract
We introduce a robust and shallow approach for grammatical role labeling (dependency labeling) where data-driven and theory-driven aspects are combined in a principled way. A classifier provides empirically justified weights, linguistic theory contributes well-motivated global restrictions, both are combined under the regiment of optimization. The empirical results of our approach are promising. However, we have made idealized assumptions (small inventory of dependency relations and treebank-derived chunks) that clearly must be replaced by a realistic setting.
Keywords: Dependency Labeling; Grammatical Role Labeling; Integer Linear Programming; Statistical Natural Language Processing; Subcategorization
Received: 2007-02-02
Revised: 2007-06-02
Published Online: 2007-12-04
Published in Print: 2007-11-20
© Walter de Gruyter
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- Rezensionen
- Rezensionsexemplare
Keywords for this article
Dependency Labeling;
Grammatical Role Labeling;
Integer Linear Programming;
Statistical Natural Language Processing;
Subcategorization
Articles in the same Issue
- Introduction
- Eigennamenerkennung zwischen morphologischer Analyse und Part-of-Speech Tagging: ein automatentheoriebasierter Ansatz
- Robuste Auszeichnung Grammatischer Funktionen
- Annotation for and Robust Parsing of Discourse Structure on Unrestricted Texts
- Automatic Semantic Analysis for NLP Applications
- Repräsentation und Verknüpfung allgemeinsprachlicher und terminologischer Wortnetze in OWL
- Suggesting Error Corrections of Path Expressions and Categories for Tree-Mapping Grammars
- Produktivität und Idiomatizität von Präposition-Substantiv-Sequenzen
- Abstracting Suffixes: A Morphophonemic Approach to Polish Morphological Analysis
- Rezensionen
- Rezensionsexemplare
