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» Convolution Kernels for Natural Language
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ICML
2003
IEEE
14 years 8 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
ESANN
2008
13 years 9 months ago
Factored sequence kernels
In this paper we propose an extension of sequence kernels to the case where the symbols that define the sequences have multiple representations. This configuration occurs in natura...
Pierre Mahé, Nicola Cancedda
EMNLP
2009
13 years 5 months ago
Efficient kernels for sentence pair classification
In this paper, we propose a novel class of graphs, the tripartite directed acyclic graphs (tDAGs), to model first-order rule feature spaces for sentence pair classification. We in...
Fabio Massimo Zanzotto, Lorenzo Dell'Arciprete
ACL
2008
13 years 9 months ago
Kernels on Linguistic Structures for Answer Extraction
Natural Language Processing (NLP) for Information Retrieval has always been an interesting and challenging research area. Despite the high expectations, most of the results indica...
Alessandro Moschitti, Silvia Quarteroni
ICIP
2005
IEEE
14 years 9 months ago
Approximate separable 3D anisotropic Gauss filter
Anisotropic Gaussian filters are useful for adaptive smoothing and feature extraction. In our application, micro - tomographic images of fibers were smoothed by anisotropic Gaussi...
Oliver Wirjadi, Thomas M. Breuel