今日重点：
Tencent 1 篇：[4]
Harvard 1 篇：[6]
Microsoft 1 篇：[12]
Tsinghua 1 篇：[19]

[1]. Job Prediction: From Deep Neural Network Models to Applications
https://arxiv.org/abs/1912.12214
Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Anh Gia-Tuan Nguyen
University of Information Technology, VNU-HCM
Submitted RIVF 2020 Conference

[2]. A Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase Detection in Short Texts
https://arxiv.org/abs/1912.12068
Muhammad Haroon Shakeel, Asim Karim, Imdadullah Khan
Department of Computer Science, Syed Babar Ali School of Science and Engineering, Lahore University of Management; Sciences, Lahore, Pakistan

[3]. Visual Agreement Regularized Training for Multi-Modal Machine Translation
https://arxiv.org/abs/1912.12014
Pengcheng Yang, Boxing Chen, Pei Zhang, Xu Sun
MOE Key Lab of Computational Linguistics, School of EECS, Peking University
Accepted by AAAI 2020

[4]. Synthesising Expressiveness in Peking Opera via Duration Informed Attention Network
https://arxiv.org/abs/1912.12010
Yusong Wu, Shengchen Li, Chengzhu Yu, Heng Lu, Chao Weng, Liqiang Zhang, Dong Yu
Beijing University of Posts and Telecommunications; Tencent AI Lab

[5]. Explicit Sentence Compression for Neural Machine Translation
https://arxiv.org/abs/1912.11980
Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao
Working in progress, part of this work is accepted in AAAI-2020

[6]. Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
https://arxiv.org/abs/1912.11975
Kexin Huang, Abhishek Singh, Sitong Chen, Edward T. Moseley, Chih-ying Deng, Naomi George, Charlotta Lindvall
Health Data Science, Harvard T.H. Chan School of Public Health; Media Lab, Massachusetts Institute of Technology; Biomedical Informatics, Harvard Medical School; Dana-Farber Cancer Institute

[7]. Language Independent Sentiment Analysis
https://arxiv.org/abs/1912.11973
Muhammad Haroon Shakeel, Turki Alghamidi, Safi Faizullah, Imdadullah Khan
Department of Computer Science, Lahore University of Management Sciences (LUMS),; Lahore, Pakistan

[8]. Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation
https://arxiv.org/abs/1912.11739
Haiyue Song, Raj Dabre, Atsushi Fujita, Sadao Kurohashi
,Kyoto University
10 pages, 1 figure, 9 tables, under review by LREC2020

[9]. Hybrid MemNet for Extractive Summarization
https://arxiv.org/abs/1912.11701
Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma
IIIT Hyderabad
Accepted in CIKM '17 Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

[10]. Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization
https://arxiv.org/abs/1912.11688
Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma
Accepted in AAAI Conference on Artificial Intelligence, 2018. Retrieved from

[11]. Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection
https://arxiv.org/abs/1912.11637
Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang, Xuancheng Ren, Qi Su, Xu Sun
†Center for Data Science, Peking University; MOE Key Lab of Computational Linguistics, School of EECS, Peking University

[12]. A Study of Multilingual Neural Machine Translation
https://arxiv.org/abs/1912.11625
Xu Tan, Yichong Leng, Jiale Chen, Yi Ren, Tao Qin, Tie-Yan Liu
Microsoft Research Asia

[13]. N-gram Statistical Stemmer for Bangla Corpus
https://arxiv.org/abs/1912.11612
Rabeya Sadia, Md Ataur Rahman, Md Hanif Seddiqui
Md.; and; Bangladesh; Chittagong-,; Chittagong,; of; University; Engineering,; Science; Computer; Dept.; Germany; Saarbrücken,; Saarland,; Technology,; Language

[14]. Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization
https://arxiv.org/abs/1912.11602
Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang
7 pages, 2 figures

[15]. IS Attention All What You Need? -- An Empirical Investigation on Convolution-Based Active Memory and Self-Attention
https://arxiv.org/abs/1912.11959
Thomas Dowdell, Hongyu Zhang
The University of Newcastle, NSW, Australia
7 pages, 2 figures

[16]. Convolutional Quantum-Like Language Model with Mutual-Attention for Product Rating Prediction
https://arxiv.org/abs/1912.11720
Qing Ping, Chaomei Chen
Accepted at MAISON workshop at ICTIR 19'

[17]. Learning to Answer Ambiguous Questions with Knowledge Graph
https://arxiv.org/abs/1912.11668
Yikai Zhu, Jianhao Shen, Ming Zhang
A PREPRINT; School of EECS, Peking University

[18]. A statistical test for correspondence of texts to the Zipf-Mandelbrot law
https://arxiv.org/abs/1912.11600
Anik Chakrabarty, Mikhail Chebunin, Artyom Kovalevskii, Ilya Pupyshev, Natalia Zakrevskaya, Qianqian Zhou

[19]. THUEE system description for NIST 2019 SRE CTS Challenge
https://arxiv.org/abs/1912.11585
Yi Liu, Tianyu Liang, Can Xu, Xianwei Zhang, Xianhong Chen, Wei-Qiang Zhang, Liang He, Dandan song, Ruyun Li, Yangcheng Wu, Peng Ouyang, Shouyi Yin
Department of Electronic Engineering; Tsinghua University, Beijing, China
This is the system description of THUEE submitted to NIST SRE 2019