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08/06/2019
Self-Balanced Dropout
Dropout is known as an effective way to reduce overfitting via preventin...
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10/04/2018
Zooming Network
Structural information is important in natural language understanding. A...
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09/30/2018
Neural Entity Reasoner for Global Consistency in NER
We propose Neural Entity Reasoner (NE-Reasoner), a framework to introduc...
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08/30/2018
Generalize Symbolic Knowledge With Neural Rule Engine
Neural-symbolic learning aims to take the advantages of both neural netw...
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07/06/2018
JUMPER: Learning When to Make Classification Decisions in Reading
In early years, text classification is typically accomplished by feature...
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10/03/2017
Event Identification as a Decision Process with Non-linear Representation of Text
We propose scale-free Identifier Network(sfIN), a novel model for event ...
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09/26/2017
Object-oriented Neural Programming (OONP) for Document Understanding
We propose Object-oriented Neural Programming (OONP), a framework for se...
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05/02/2017
Deep Neural Machine Translation with Linear Associative Unit
Deep Neural Networks (DNNs) have provably enhanced the state-of-the-art ...
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12/08/2016
Coupling Distributed and Symbolic Execution for Natural Language Queries
Building neural networks to query a knowledge base (a table) with natura...
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10/17/2016
Neural Machine Translation Advised by Statistical Machine Translation
Neural Machine Translation (NMT) is a new approach to machine translatio...
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10/17/2016
Interactive Attention for Neural Machine Translation
Conventional attention-based Neural Machine Translation (NMT) conducts d...
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08/22/2016
Context Gates for Neural Machine Translation
In neural machine translation (NMT), generation of a target word depends...
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06/07/2016
Memory-enhanced Decoder for Neural Machine Translation
We propose to enhance the RNN decoder in a neural machine translator (NM...
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06/06/2016
Neural Machine Translation with External Phrase Memory
In this paper, we propose phraseNet, a neural machine translator with a ...
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03/21/2016
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
We address an important problem in sequence-to-sequence (Seq2Seq) learni...
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01/19/2016
Modeling Coverage for Neural Machine Translation
Attention mechanism has enhanced state-of-the-art Neural Machine Transla...
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12/04/2015
Neural Generative Question Answering
This paper presents an end-to-end neural network model, named Neural Gen...
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12/03/2015
Neural Enquirer: Learning to Query Tables with Natural Language
We proposed Neural Enquirer as a neural network architecture to execute ...
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08/22/2015
Towards Neural Network-based Reasoning
We propose Neural Reasoner, a framework for neural network-based reasoni...
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06/22/2015
A Deep Memory-based Architecture for Sequence-to-Sequence Learning
We propose DEEPMEMORY, a novel deep architecture for sequence-to-sequenc...
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06/01/2015
Learning to Answer Questions From Image Using Convolutional Neural Network
In this paper, we propose to employ the convolutional neural network (CN...
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04/23/2015
Multimodal Convolutional Neural Networks for Matching Image and Sentence
In this paper, we propose multimodal convolutional neural networks (m-CN...
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04/20/2015
Self-Adaptive Hierarchical Sentence Model
The ability to accurately model a sentence at varying stages (e.g., word...
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03/17/2015
genCNN: A Convolutional Architecture for Word Sequence Prediction
We propose a novel convolutional architecture, named genCNN, for word se...
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03/11/2015
Convolutional Neural Network Architectures for Matching Natural Language Sentences
Semantic matching is of central importance to many natural language task...
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03/09/2015
Syntax-based Deep Matching of Short Texts
Many tasks in natural language processing, ranging from machine translat...
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03/09/2015
Neural Responding Machine for Short-Text Conversation
We propose Neural Responding Machine (NRM), a neural network-based respo...
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03/09/2015
Context-Dependent Translation Selection Using Convolutional Neural Network
We propose a novel method for translation selection in statistical machi...
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03/06/2015
Encoding Source Language with Convolutional Neural Network for Machine Translation
The recently proposed neural network joint model (NNJM) (Devlin et al., ...
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10/22/2014
