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
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein
Department of Electrical Engineering and Computer Sciences
University of California, Berkeley
Question Answering
Rudolf Kadlec, Martin Schmid, Ondrej Bajgar, Jan Kleindienst
IBM Watson
Machine Reading Comprehension
Karthik Narasimhan, Adam Yala, Regina Barzilay
CSAIL, MIT
Information Extraction; Reinforcement Learning
Caglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio
Universite de Montr´eal
IBM T.J. Watson Research
CIFAR Senior Fellow
Unknown Words
Sam Wiseman, Alexander M. Rush
School of Engineering and Applied Sciences, Harvard University
Seq2Seq; Beam Search
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang
Computer Science Department
Stanford University
Machine Reading Comprehension; Dataset
Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, Li Deng
School of Computer Science, Carnegie Mellon University
Microsoft Research
National Taiwan University
Reinforcement Learning; Dialogue System
Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen
Microsoft Research Redmond
Machine Reading Comprehension
Kaixiang Mo, Shuangyin Li, Yu Zhang, Jiajun Li, Qiang Yang
The Hong Kong University of Science and Technology
Dialogue System; Transfer Learning
Xiang Li, Tao Qin, Jian Yang, Tie-Yan Liu
Nanjing University of Science and Technology
Microsoft Research Asia
New Recurrent Neural Network
11、Dual Learning for Machine Translation
Yingce Xia, Di He, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma
University of Science and Technology of China
Key Laboratory of Machine Perception (MOE), School of EECS, Peking University
Microsoft Research
Dual Learning; Neural Machine Translation
Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li
Noah’s Ark Lab, Huawei Technologies
Department of Computer Science and Technology, Tsinghua University
Neural Machine Translation
Qiao Qian, Minlie Huang, Xiaoyan Zhu
State Key Lab. of Intelligent Technology and Systems, National Lab. for Information Science and Technology
Dept. of Computer Science and Technology, Tsinghua University
Sentiment Classification; LSTM
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
Google
Multilingual Neural Machine Translation; Zero-Shot
Yann N. Dauphin, Angela Fan, Michael Auli, David Grangier
Facebook AI Research
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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