Reinforced Mnemonic Reader for Machine Comprehension
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[1] Roberto Cipolla,et al. Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[2] Jason Weston,et al. End-To-End Memory Networks , 2015, NIPS.
[3] Dirk Weissenborn,et al. Making Neural QA as Simple as Possible but not Simpler , 2017, CoNLL.
[4] Shuohang Wang,et al. Machine Comprehension Using Match-LSTM and Answer Pointer , 2016, ICLR.
[5] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[6] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[7] Mirella Lapata,et al. Long Short-Term Memory-Networks for Machine Reading , 2016, EMNLP.
[8] Jian Zhang,et al. SQuAD: 100,000+ Questions for Machine Comprehension of Text , 2016, EMNLP.
[9] Vaibhava Goel,et al. Self-Critical Sequence Training for Image Captioning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Rui Liu,et al. Structural Embedding of Syntactic Trees for Machine Comprehension , 2017, EMNLP.
[11] Samuel R. Bowman,et al. Ruminating Reader: Reasoning with Gated Multi-hop Attention , 2017, QA@ACL.
[12] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[13] Xiaodong Liu,et al. Stochastic Answer Networks for Machine Reading Comprehension , 2017, ACL.
[14] Phil Blunsom,et al. Teaching Machines to Read and Comprehend , 2015, NIPS.
[15] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Jianfeng Gao,et al. Deep Reinforcement Learning for Dialogue Generation , 2016, EMNLP.
[17] Alex M. Andrew,et al. Reinforcement Learning: : An Introduction , 1998 .
[18] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[19] Jason Weston,et al. The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations , 2015, ICLR.
[20] Deng Cai,et al. MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension , 2017, ArXiv.
[21] Richard Socher,et al. DCN+: Mixed Objective and Deep Residual Coattention for Question Answering , 2017, ICLR.
[22] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[23] Navdeep Jaitly,et al. Pointer Networks , 2015, NIPS.
[24] Jason Weston,et al. Reading Wikipedia to Answer Open-Domain Questions , 2017, ACL.
[25] Philip Bachman,et al. Machine Comprehension by Text-to-Text Neural Question Generation , 2017, Rep4NLP@ACL.
[26] Li-Rong Dai,et al. Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering , 2017, ArXiv.
[27] Percy Liang,et al. Adversarial Examples for Evaluating Reading Comprehension Systems , 2017, EMNLP.
[28] Yelong Shen,et al. ReasoNet: Learning to Stop Reading in Machine Comprehension , 2016, CoCo@NIPS.
[29] Richard Socher,et al. Dynamic Coattention Networks For Question Answering , 2016, ICLR.
[30] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[31] Ting Liu,et al. Attention-over-Attention Neural Networks for Reading Comprehension , 2016, ACL.
[32] Bowen Zhou,et al. A Structured Self-attentive Sentence Embedding , 2017, ICLR.
[33] Eunsol Choi,et al. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension , 2017, ACL.
[34] Zhiguo Wang,et al. Multi-Perspective Context Matching for Machine Comprehension , 2016, ArXiv.
[35] Ming Zhou,et al. Gated Self-Matching Networks for Reading Comprehension and Question Answering , 2017, ACL.
[36] Ronald J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[37] Yoshua Bengio,et al. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling , 2014, ArXiv.
[38] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[39] Dale Schuurmans,et al. Reward Augmented Maximum Likelihood for Neural Structured Prediction , 2016, NIPS.
[40] Yelong Shen,et al. FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension , 2017, ICLR.
[41] Richard Socher,et al. A Deep Reinforced Model for Abstractive Summarization , 2017, ICLR.