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» Semiautomatic Labelling of Semantic Features
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ACL
2004
13 years 9 months ago
FLSA: Extending Latent Semantic Analysis with Features for Dialogue Act Classification
We discuss Feature Latent Semantic Analysis (FLSA), an extension to Latent Semantic Analysis (LSA). LSA is a statistical method that is ordinarily trained on words only; FLSA adds...
Riccardo Serafin, Barbara Di Eugenio
CVPR
2008
IEEE
14 years 9 months ago
Latent topic random fields: Learning using a taxonomy of labels
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
Xuming He, Richard S. Zemel
WEBI
2009
Springer
14 years 2 months ago
Social Semantics and Its Evaluation by Means of Semantic Relatedness and Open Topic Models
—This paper presents an approach using social semantics for the task of topic labelling by means of Open Topic Models. Our approach utilizes a social ontology to create an alignm...
Ulli Waltinger, Alexander Mehler
ACL
2007
13 years 9 months ago
Fast Semantic Extraction Using a Novel Neural Network Architecture
We describe a novel neural network architecture for the problem of semantic role labeling. Many current solutions are complicated, consist of several stages and handbuilt features...
Ronan Collobert, Jason Weston
COLING
2008
13 years 9 months ago
Semantic Role Assignment for Event Nominalisations by Leveraging Verbal Data
This paper presents a novel approach to the task of semantic role labelling for event nominalisations, which make up a considerable fraction of predicates in running text, but are...
Sebastian Padó, Marco Pennacchiotti, Caroli...