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EMNLP
2010
13 years 5 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
MICAI
2004
Springer
14 years 12 days ago
A Biologically Motivated and Computationally Efficient Natural Language Processor
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
João Luís Garcia Rosa

Book
452views
15 years 5 months ago
Practical Artificial Intelligence Programming With Java
This book shows how to implement some AI techniques in java such as Search, Reasoning, Semantic Web, Expert Systems, Genetic Algorithms, Neural Networks, Machine Learning with Weka...
Mark Watson
EACL
2003
ACL Anthology
13 years 8 months ago
Neural Network Probability Estimation for Broad Coverage Parsing
We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-...
James Henderson
ISNN
2007
Springer
14 years 1 months ago
A Connectionist Thematic Grid Predictor for Pre-parsed Natural Language Sentences
Abstract. Inspired on psycholinguistics and neuroscience, a symbolicconnectionist hybrid system called θ-Pred (Thematic Predictor for natural language) is proposed, designed to re...
João Luís Garcia Rosa