Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

2014/01/01 by Kyunghyun Cho, Bart van Merriënboer, Çağlar Gülçehre +4 · 32 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Speech Recognition and Synthesis

paper · pdf · doi:10.3115/v1/d14-1179

openalex publication_date 2014/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04

Abstract

Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2014.

Citations

• ADADELTA: An Adaptive Learning Rate Method
• Theano: new features and speed improvements
• Learning Semantic Representations for the Phrase Translation Model
• Long Short-Term Memory
• Distributed Representations of Words and Phrases and their Compositionality
• ImageNet classification with deep convolutional neural networks

Cited by

• The Differentiable Cross-Entropy Method
• Hop-Hop Relation-aware Graph Neural Networks
• Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning
• Constructing Gradient Controllable Recurrent Neural Networks Using\n Hamiltonian Dynamics
• Scyclone: High-Quality and Parallel-Data-Free Voice Conversion Using Spectrogram and Cycle-Consistent Adversarial Networks
• Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs
• FastFusionNet: New State-of-the-Art for DAWNBench SQuAD
• Rethinking Time Encoding via Learnable Transformation Functions
• Parallelizing Word2Vec in Shared and Distributed Memory
• Code Representation Learning with Prüfer Sequences
• Multitask Adaptation by Retrospective Exploration with Learned World\n Models
• Language coverage and generalization in RNN-based continuous sentence\n embeddings for interacting agents
• Fast Transient Simulation of High-Speed Channels Using Recurrent Neural Network
• Automated labeling of bugs and tickets using attention-based mechanisms\n in recurrent neural networks
• A Novel Technique for Evidence based Conditional Inference in Deep Neural Networks via Latent Feature Perturbation
• Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
• Hallucinating Optical Flow Features for Video Classification
• Latent Variable Session-Based Recommendation
• On the retraining frequency of global models in retail demand forecasting
• Learning A Physical Long-term Predictor
• Hierarchical Neural Circuit Theory of Normalization and Inter-areal Communication
• DLTPy: Deep Learning Type Inference of Python Function Signatures using Natural Language Context
• Auxiliary Tasks and Exploration Enable ObjectNav
• Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline
• Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces
• Locating Faulty Methods with a Mixed RNN and Attention Model
• Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting
• DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion
• IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem
• MUFASA: A Multi-Layer Framework for Slot Attention
• An End-to-End Framework for Optimizing Foot Trajectory and Force in Dry Adhesion Legged Wall-Climbing Robots
• History of machine translation [wikipedia]