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...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!