引言
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
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