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» Convolution Kernels for Natural Language
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AAAI
2010
13 years 7 months ago
Kernelized Sorting for Natural Language Processing
Kernelized sorting is an approach for matching objects from two sources (or domains) that does not require any prior notion of similarity between objects across the two sources. U...
Jagadeesh Jagarlamudi, Seth Juarez, Hal Daum&eacut...
ICML
2008
IEEE
14 years 6 months ago
A unified architecture for natural language processing: deep neural networks with multitask learning
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
Ronan Collobert, Jason Weston
DSL
2009
13 years 3 months ago
Operator Language: A Program Generation Framework for Fast Kernels
Abstract. We present the Operator Language (OL), a framework to automatically generate fast numerical kernels. OL provides the structure to extend the program generation system Spi...
Franz Franchetti, Frédéric de Mesmay...
EMNLP
2008
13 years 7 months ago
A Dependency-based Word Subsequence Kernel
This paper introduces a new kernel which computes similarity between two natural language sentences as the number of paths shared by their dependency trees. The paper gives a very...
Rohit J. Kate