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Shuming Ma

Towards Easier and Faster Sequence Labeling for Natural Language Processing: A Search-Based Probabilistic Online Learning Framework (SAPO)
Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method
Deconvolution-Based Global Decoding for Neural Machine Translation
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting

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