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» Convolution Kernels for Natural Language
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163
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DAGM
2011
Springer
14 years 1 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
133
Voted
ICML
2007
IEEE
16 years 2 months ago
Fast and effective kernels for relational learning from texts
In this paper, we define a family of syntactic kernels for automatic relational learning from pairs of natural language sentences. We provide an efficient computation of such mode...
Alessandro Moschitti, Fabio Massimo Zanzotto
113
Voted
IPMI
2005
Springer
16 years 2 months ago
Unified Statistical Approach to Cortical Thickness Analysis
This paper presents a unified image processing and analysis framework for cortical thickness in characterizing a clinical population. The emphasis is placed on the development of d...
Moo K. Chung, Steve Robbins, Alan C. Evans
121
Voted
ACL
2006
15 years 3 months ago
Using String-Kernels for Learning Semantic Parsers
We present a new approach for mapping natural language sentences to their formal meaning representations using stringkernel-based classifiers. Our system learns these classifiers ...
Rohit J. Kate, Raymond J. Mooney
110
Voted
COLING
2008
15 years 3 months ago
Semantic Classification with Distributional Kernels
Distributional measures of lexical similarity and kernel methods for classification are well-known tools in Natural Language Processing. We bring these two methods together by int...
Diarmuid Ó Séaghdha, Ann Copestake