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Kernelized Hashcode Representations for Relation Extraction

Published in arXiv (Cornell University) • Nov 10, 2017
Authors:
Sahil Garg
,
Aram Galstyan
,
Greg Ver Steeg

Abstract

Kernel methods have produced state-of-the-art results for a number of NLP tasks such as relation extraction, but suffer from poor scalability due to the high cost of computing kernel similarities between natural language structures. A recently proposed technique, kernelized locality-sensitive hashin...

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