Bidirectional recurrent neural networks

Bidirectional Recurrent Neural Networks(BRNN) were invented in 1997 by Schuster & Paliwal. BRNN is introduced to increase the amount of input… (More)
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Artificial neural networkLong short-term memoryMultilayer perceptronRecurrent neural network
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Papers overview

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2018
2018
Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks
The standard approach to assess reliability of automatic speech transcriptions is through the use of confidence scores. If… (More)
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2017
2017
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks
Predicting the future health information of patients from the historical Electronic Health Records (EHR) is a core research task… (More)
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2016
2016
Video Description using Bidirectional Recurrent Neural Networks
Although traditionally used in the machine translation field, the encoder-decoder framework has been recently applied for the… (More)
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2016
2016
Mongolian Named Entity Recognition with Bidirectional Recurrent Neural Networks
Traditional approaches to Named Entity Recognition almost heavily rely on feature engineering. In this paper, we introduce a kind… (More)
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2016
2016
Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks
The recognition of disease and chemical named entities in scientific articles is a very important subtask in information… (More)
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2015
2015
Bidirectional Recurrent Neural Networks as Generative Models
Bidirectional recurrent neural networks (RNN) are trained to predict both in the positive and negative time directions… (More)
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2015
2015
Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks
Traditional approaches to Chinese Semantic Role Labeling (SRL) almost heavily rely on feature engineering. Even worse, the long… (More)
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2015
2015
ASR error detection and recognition rate estimation using deep bidirectional recurrent neural networks
Recurrent neural networks (RNNs) have recently been applied as the classifiers for sequential labeling problems. In this paper… (More)
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2010
2010
Protein secondary structure prediction using modular reciprocal bidirectional recurrent neural networks
The supervised learning of recurrent neural networks well-suited for prediction of protein secondary structures from the… (More)
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Highly Cited
1997
Highly Cited
1997
Bidirectional recurrent neural networks
In the first part of this paper, a regular recurrent neural network (RNN) is extended to a bidirectional recurrent neural network… (More)
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