Add to ORKGrba @ bellcore.com Recent developments in neural algorithms provide a new approach to natural language processing. Two sets of brief studies show how networks may be developed for processing simple demonstratives and analogies. Two longer studies consider pronoun reference and natural language translation. Taken together, the studies provide additional support for the applicability of these algorithms to natural language processing. 1
In the last few decades, text mining has been used to extract knowledge from free texts. Applying ne...
In the last few decades, text mining has been used to extract knowledge from free texts. Applying ne...
International audienceEfforts to understand the brain bases of language face the mapping problem: at...
The rapid increase of information available on the Internet, much of it textual, calls for computati...
Since the advent of computers, scientists have tried to use the human languages for communication wi...
Several researchers have successfully used Neural Networks (NN) to process natural languages. In mos...
Traditional ideas of dialect represent an essentially aesthetic view, in which evidence from languag...
Convolutional Neural Networks (CNNs) and pre-trained word embeddings have revolutionized the field o...
Abstract-- Recent artificial neural network models lack many physiological properties of the neuron ...
Automatically processing natural language is quite a challenge for a machine. Complex structure and ...
Current approaches to Natural Language Processing (NLP) have shown impressive improvements in many i...
The current generation of neural network-based natural language processing models excels at learning...
We propose a unified neural network architecture and learning algorithm that can be applied to vario...
Several major innovations in artificial intelligence (AI) (e.g. convolutional neural networks, exper...
Abstract. Conventional artificial neural network models lack many physiological properties of the ne...
In the last few decades, text mining has been used to extract knowledge from free texts. Applying ne...
In the last few decades, text mining has been used to extract knowledge from free texts. Applying ne...
International audienceEfforts to understand the brain bases of language face the mapping problem: at...
The rapid increase of information available on the Internet, much of it textual, calls for computati...
Since the advent of computers, scientists have tried to use the human languages for communication wi...
Several researchers have successfully used Neural Networks (NN) to process natural languages. In mos...
Traditional ideas of dialect represent an essentially aesthetic view, in which evidence from languag...
Convolutional Neural Networks (CNNs) and pre-trained word embeddings have revolutionized the field o...
Abstract-- Recent artificial neural network models lack many physiological properties of the neuron ...
Automatically processing natural language is quite a challenge for a machine. Complex structure and ...
Current approaches to Natural Language Processing (NLP) have shown impressive improvements in many i...
The current generation of neural network-based natural language processing models excels at learning...
We propose a unified neural network architecture and learning algorithm that can be applied to vario...
Several major innovations in artificial intelligence (AI) (e.g. convolutional neural networks, exper...
Abstract. Conventional artificial neural network models lack many physiological properties of the ne...
In the last few decades, text mining has been used to extract knowledge from free texts. Applying ne...
In the last few decades, text mining has been used to extract knowledge from free texts. Applying ne...
International audienceEfforts to understand the brain bases of language face the mapping problem: at...