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» Convolution Kernels for Natural Language
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ACL
2004
13 years 6 months ago
Convolution Kernels with Feature Selection for Natural Language Processing Tasks
Convolution kernels, such as sequence and tree kernels, are advantageous for both the concept and accuracy of many natural language processing (NLP) tasks. Experiments have, howev...
Jun Suzuki, Hideki Isozaki, Eisaku Maeda
NIPS
2001
13 years 6 months ago
Convolution Kernels for Natural Language
We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other discre...
Michael Collins, Nigel Duffy
EMNLP
2011
12 years 4 months ago
Structured Lexical Similarity via Convolution Kernels on Dependency Trees
Danilo Croce, Alessandro Moschitti, Roberto Basili
SKG
2006
IEEE
13 years 10 months ago
Embedding the Semantic Knowledge in Convolution Kernels
Convolution kernels, such as tree kernel and subsequence kernel are useful for natural language processing tasks. However, most of them ignore the semantic knowledge. In order to ...
Kebin Liu, Fang Li, Ying Han, Lei Liu
ECML
2006
Springer
13 years 8 months ago
Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees
In this paper, we provide a study on the use of tree kernels to encode syntactic parsing information in natural language learning. In particular, we propose a new convolution kerne...
Alessandro Moschitti