Extensions of recurrent neural network language model
Data up to Jan 2025
Total Citations Per Year
Abstract
References (23)
Learning representations by back-propagating errors
1986 • 25,825 citations
Finding Structure in Time
1990 • 9,944 citations
Learning long-term dependencies with gradient descent is difficult
1994 • 7,520 citations
Recurrent neural network based language model
2010 • 5,387 citations
Finding structure in time
1990 • 2,882 citations
A neural probabilistic language model
2003 • 2,704 citations
Scaling learning algorithms towards AI
2007 • 945 citations
Hierarchical Probabilistic Neural Network Language Model.
2005 • 867 citations
A bit of progress in language modeling
2001 • 466 citations
Scaling Learning Algorithms toward AI
2007 • 363 citations
Learning internal representations by back-propagating errors
1986 • 345 citations
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
2008 • 230 citations
A guide to recurrent neural networks and backpropagation
2001 • 189 citations
Classes for fast maximum entropy training
2002 • 169 citations
A Bit of Progress in Language Modeling Extended Version
2001 • 119 citations
Training neural network language models on very large corpora
2005 • 118 citations
Factored neural language models
2006 • 102 citations
A Neural Syntactic Language Model
2005 • 76 citations
Neural network based language models for highly inflective languages
2009 • 75 citations
Random forests and the data sparseness problem in language modeling
2006 • 65 citations
A joint language model with fine-grain syntactic tags
2009 • 38 citations
Exact training of a neural syntactic language model
2004 • 25 citations
Deleted Work
1955 • 0 citations