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[1] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[2] Zhiguo Wang,et al. Multi-Perspective Context Matching for Machine Comprehension , 2016, ArXiv.
[3] Yueting Zhuang,et al. Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference , 2018, ACL.
[4] Ramakanth Pasunuru,et al. Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation , 2018, ACL.
[5] Yuxing Peng,et al. Reinforced Mnemonic Reader for Machine Comprehension , 2017 .
[6] Rico Sennrich,et al. Neural Machine Translation of Rare Words with Subword Units , 2015, ACL.
[7] Ming Zhou,et al. Gated Self-Matching Networks for Reading Comprehension and Question Answering , 2017, ACL.
[8] Ming Zhou,et al. Selective Encoding for Abstractive Sentence Summarization , 2017, ACL.
[9] Hannaneh Hajishirzi,et al. Question Answering through Transfer Learning from Large Fine-grained Supervision Data , 2017, ACL.
[10] Richard Socher,et al. Learned in Translation: Contextualized Word Vectors , 2017, NIPS.
[11] Nenghai Yu,et al. Deliberation Networks: Sequence Generation Beyond One-Pass Decoding , 2017, NIPS.
[12] Richard Socher,et al. DCN+: Mixed Objective and Deep Residual Coattention for Question Answering , 2017, ICLR.
[13] Ali Farhadi,et al. Bidirectional Attention Flow for Machine Comprehension , 2016, ICLR.
[14] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[15] Ting Liu,et al. Attention-over-Attention Neural Networks for Reading Comprehension , 2016, ACL.
[16] Dirk Weissenborn,et al. Making Neural QA as Simple as Possible but not Simpler , 2017, CoNLL.
[17] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[18] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[19] Jason Weston,et al. A Neural Attention Model for Abstractive Sentence Summarization , 2015, EMNLP.
[20] Deng Cai,et al. MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension , 2017, ArXiv.
[21] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[22] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[23] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[24] Yann Dauphin,et al. Convolutional Sequence to Sequence Learning , 2017, ICML.
[25] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[26] Eunsol Choi,et al. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension , 2017, ACL.
[27] Quoc V. Le,et al. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition , 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[28] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.
[29] Phil Blunsom,et al. Teaching Machines to Read and Comprehend , 2015, NIPS.
[30] Ross B. Girshick,et al. Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Navdeep Jaitly,et al. Pointer Networks , 2015, NIPS.
[32] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[33] Xing Shi,et al. Does String-Based Neural MT Learn Source Syntax? , 2016, EMNLP.
[34] Richard Socher,et al. A Deep Reinforced Model for Abstractive Summarization , 2017, ICLR.
[35] Geoffrey Zweig,et al. Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning , 2017, ACL.
[36] Yelong Shen,et al. ReasoNet: Learning to Stop Reading in Machine Comprehension , 2016, CoCo@NIPS.
[37] Yoshua Bengio,et al. Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach , 2011, ICML.
[38] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[39] Richard Socher,et al. Dynamic Coattention Networks For Question Answering , 2016, ICLR.
[40] Christopher D. Manning,et al. Get To The Point: Summarization with Pointer-Generator Networks , 2017, ACL.
[41] George Kurian,et al. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation , 2016, ArXiv.
[42] Bowen Zhou,et al. Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond , 2016, CoNLL.
[43] Guodong Zhou,et al. Modeling Source Syntax for Neural Machine Translation , 2017, ACL.
[44] Jian Zhang,et al. SQuAD: 100,000+ Questions for Machine Comprehension of Text , 2016, EMNLP.
[45] Bowen Zhou,et al. SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents , 2016, AAAI.
[46] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.