Paper Info
Title
Generalized Hebbian Algorithm for Incremental Singular Value Decomposition in Natural Language Processing
Abstract
An algorithm based on the Generalized Hebbian Algorithm is described that allows the singular value decomposition of a dataset to be learned based on single observation pairs presented seri- ally. The algorithm has minimal mem- ory requirements, and is therefore in- teresting in the natural language do- main, where very large datasets are of- ten used, and datasets quickly become intractable. The technique is demon- strated on the task of learning word and letter bigram pairs from text.
Year
Venue
Keywords
2006
EACL
natural language processing,natural language,singular value decomposition
Field
DocType
Citations 
Singular value decomposition,Pattern recognition,Computer science,Natural language,Natural language processing,Bigram,Artificial intelligence,Generalized Hebbian Algorithm,Latent semantic analysis,Machine learning
Conference
39
PageRank 
References 
Authors
2.22
5
1
Name
Order
Citations
PageRank
Genevieve Gorrell126622.00