Hochschulschrift
Experiments on the automatic induction of German semantic verb classes
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Dimensions
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21 cm
- Extent
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X, 343 S.
- Language
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Englisch
- Notes
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graph. Darst.
Zugl.: Stuttgart, Univ., Diss., 2003
- Bibliographic citation
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Arbeitspapiere des Instituts für Maschinelle Sprachverarbeitung / Universität Stuttgart ; Vol. 9, No. 2
- Keyword
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Deutsch
Verb
Semantik
Cluster-Analyse
- Event
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Veröffentlichung
- (where)
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Stuttgart
- (who)
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Inst. für Maschinelle Sprachverarbeitung
- (when)
-
2003
- Creator
- Table of contents
- Rights
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
- 11.06.2025, 1:49 PM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Schulte im Walde, Sabine
- Inst. für Maschinelle Sprachverarbeitung
Time of origin
- 2003
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Semantic frame induction through the detection of communities of verbs and their arguments
AUTOMATIC CLASSIFICATION OF SELECTED CORINE CLASSES USING DEEP LEARNING BASED SEMANTIC SEGMENTATION
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Unsupervised semantic frame induction using triclustering
Advice Automatic Structures and Uniformly Automatic Classes
Advice automatic structures and uniformly automatic classes
Improving automatic GO annotation with semantic similarity
New resources and ideas for semantic parser induction
Semantic verb classes in Tima (Niger-Congo)
Semantic verb class
Semantic verb class
Verb derivation in modern Greek : alternation classes, conceptual structures, semantic fields
Semantic frame induction through the detection of communities of verbs and their arguments
AUTOMATIC CLASSIFICATION OF SELECTED CORINE CLASSES USING DEEP LEARNING BASED SEMANTIC SEGMENTATION
Automatic induction of lexical features
Unsupervised semantic frame induction using triclustering
Advice Automatic Structures and Uniformly Automatic Classes
Advice automatic structures and uniformly automatic classes
Improving automatic GO annotation with semantic similarity