经过大家的投票和补充，paperweekly选出了15篇2016年最值得读的自然语言处理领域相关Paper，排序按照时间顺序，覆盖了几大热门研究方向。

　　1、Learning to Compose Neural Networks for Question Answering作者

　　Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein

　　单位

　　Department of Electrical Engineering and Computer Sciences

　　University of California, Berkeley

　　关键词

　　Question Answering

　　2、Text understanding with the attention sum reader network作者

　　Rudolf Kadlec, Martin Schmid, Ondrej Bajgar, Jan Kleindienst

　　单位

　　IBM Watson

　　关键词

　　Machine Reading Comprehension

　　3、Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning作者

　　Karthik Narasimhan, Adam Yala, Regina Barzilay

　　单位

　　CSAIL, MIT

　　关键词

　　Information Extraction; Reinforcement Learning

　　4、Pointing the Unknown Words作者

　　Caglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio

　　单位

　　Universite de Montr´eal

　　IBM T.J. Watson Research

　　CIFAR Senior Fellow

　　关键词

　　Unknown Words

　　5、Sequence-to-Sequence Learning as Beam-Search Optimization作者

　　Sam Wiseman, Alexander M. Rush

　　单位

　　School of Engineering and Applied Sciences, Harvard University

　　关键词

　　Seq2Seq; Beam Search

　　6、SQuAD: 100,000+ Questions for Machine Comprehension of Text作者

　　Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang

　　单位

　　Computer Science Department

　　Stanford University

　　关键词

　　Machine Reading Comprehension; Dataset

　　7、End-to-End Reinforcement Learning of Dialogue Agents for Information Access作者

　　Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, Li Deng

　　单位

　　School of Computer Science, Carnegie Mellon University

　　Microsoft Research

　　National Taiwan University

　　关键词

　　Reinforcement Learning; Dialogue System

　　8、ReasoNet: Learning to Stop Reading in Machine Comprehension作者

　　Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen

　　单位

　　Microsoft Research Redmond

　　关键词

　　Machine Reading Comprehension

　　9、Personalizing a Dialogue System with Transfer Learning作者

　　Kaixiang Mo, Shuangyin Li, Yu Zhang, Jiajun Li, Qiang Yang

　　单位

　　The Hong Kong University of Science and Technology

　　关键词

　　Dialogue System; Transfer Learning

　　10、LightRNN Memory and Computation-Efficient Recurrent Neural Network作者

　　Xiang Li, Tao Qin, Jian Yang, Tie-Yan Liu

　　单位

　　Nanjing University of Science and Technology

　　Microsoft Research Asia

　　关键词

　　New Recurrent Neural Network

　　11、Dual Learning for Machine Translation

　　作者

　　Yingce Xia, Di He, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma

　　单位

　　University of Science and Technology of China

　　Key Laboratory of Machine Perception (MOE), School of EECS, Peking University

　　Microsoft Research

　　关键词

　　Dual Learning; Neural Machine Translation

　　12、Neural Machine Translation with Reconstruction作者

　　Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li

　　单位

　　Noah’s Ark Lab, Huawei Technologies

　　Department of Computer Science and Technology, Tsinghua University

　　关键词

　　Neural Machine Translation

　　13、Linguistically Regularized LSTMs for Sentiment Classification作者

　　Qiao Qian, Minlie Huang, Xiaoyan Zhu

　　单位

　　State Key Lab. of Intelligent Technology and Systems, National Lab. for Information Science and Technology

　　Dept. of Computer Science and Technology, Tsinghua University

　　关键词

　　Sentiment Classification; LSTM

　　14、Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation作者

　　Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, Jeffrey Dean

　　单位

　　Google

　　关键词

　　Multilingual Neural Machine Translation; Zero-Shot

　　15、Language Modeling with Gated Convolutional Networks作者

　　Yann N. Dauphin, Angela Fan, Michael Auli, David Grangier

　　单位

　　Facebook AI Research

　　关键词

　　Language Modeling; Gated CNN

　　如果您觉得还有非常不错的NLP Paper没有出现在这个list中，请留言或移步到此处进行补充或评论

　　下载所有Paper请戳这里

　　关于PaperWeekly