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06/05/2019
Imitation Learning for Non-Autoregressive Neural Machine Translation
Non-autoregressive translation models (NAT) have achieved impressive inf...
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09/02/2018
Future-Prediction-Based Model for Neural Machine Translation
We propose a novel model for Neural Machine Translation (NMT). Different...
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05/10/2018
Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency
Abstractive text summarization is a highly difficult problem, and the se...
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11/17/2017
Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method
We propose a simple yet effective technique to simplify the training and...
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11/04/2017
Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning
In recent years, neural networks have proven to be effective in Chinese ...
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10/28/2017
Label Embedding Network: Learning Label Representation for Soft Training of Deep Networks
We propose a method, called Label Embedding Network, which can learn lab...
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09/18/2017
