一周新论文 | 2020年第9周 | 自然语言处理相关

《一周新论文》系列之2020年第9周：自然语言处理相关

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本周重点关注：

• Microsoft: [2], [23], [40], [43], [76]
• Facebook: [36], [53], [78]
• Amazon: [21]
• Google: [10], [19], [34]

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2020年2月28日

[1]. Generating Followup Questions for Interpretable Multi-hop Question Answering
链接 | https://arxiv.org/abs/2002.12344
作者 | Christopher Malon, Bing Bai
单位 | NEC Laboratories America

[2]. Few-shot Natural Language Generation for Task-Oriented Dialog
链接 | https://arxiv.org/abs/2002.12328
作者 | Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao
单位 | Microsoft Research, Redmond

[3]. A Primer in BERTology: What we know about how BERT works
链接 | https://arxiv.org/abs/2002.12327
作者 | Anna Rogers, Olga Kovaleva, Anna Rumshisky
单位 | University of Massachusetts Lowell

[4]. Annotation of Emotion Carriers in Personal Narratives
链接 | https://arxiv.org/abs/2002.12196
作者 | Aniruddha Tammewar, Alessandra Cervone, Eva-Maria Messner, Giuseppe Riccardi
单位 | University of Trento; University of Ulm
Comments: To be published in LREC 2020

[5]. Improving cross-lingual model transfer by chunking
链接 | https://arxiv.org/abs/2002.12097
作者 | Ayan Das, Sudeshna Sarkar
单位 | IIT Kharagpur, India

[6]. Binarized PMI Matrix: Bridging Word Embeddings and Hyperbolic Spaces
链接 | https://arxiv.org/abs/2002.12005
作者 | Zhenisbek Assylbekov, Alibi Jangeldin
单位 | Nazarbayev University

[7]. Integrating Boundary Assembling into a DNN Framework for Named Entity Recognition in Chinese Social Media Text
链接 | https://arxiv.org/abs/2002.11910
作者 | Zhaoheng Gong, Ping Chen, Jiang Zhou
单位 | Harvard Business School; University of Massachusetts Boston; AI Strike

[8]. CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
链接 | https://arxiv.org/abs/2002.11893
作者 | Qi Zhu, Kaili Huang, Zheng Zhang, Xiaoyan Zhu, Minlie Huang
单位 | Tsinghua University

[9]. Analysis of diversity-accuracy tradeoff in image captioning
链接 | https://arxiv.org/abs/2002.11848
作者 | Ruotian Luo, Gregory Shakhnarovich
单位 | TTI-Chicago

[10]. Echo State Neural Machine Translation
链接 | https://arxiv.org/abs/2002.11847
作者 | Ankush Garg, Yuan Cao, Qi Ge
单位 | Google Research

[11]. Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
链接 | https://arxiv.org/abs/2002.11794
作者 | Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez
单位 | UC Berkeley

[12]. Towards Zero-shot Learning for Automatic Phonemic Transcription
链接 | https://arxiv.org/abs/2002.11781
作者 | Xinjian Li, Siddharth Dalmia, David R. Mortensen, Juncheng Li, Alan W Black, Florian Metze
单位 | Carnegie Mellon University
Comments: AAAI 2020

[13]. Attacking Neural Text Detectors
链接 | https://arxiv.org/abs/2002.11768
作者 | Max Wolff

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2020年2月27日

[14]. Marathi To English Neural Machine Translation With Near Perfect Corpus And Transformers
链接 | https://arxiv.org/abs/2002.11643
作者 | Swapnil Ashok Jadhav
Comments: 5 pages, 5 tables. This report is based on applied research work done at Dailyhunt

[15]. Using Distributional Thesaurus Embedding for Co-hyponymy Detection
链接 | https://arxiv.org/abs/2002.11506
作者 | Abhik Jana, Nikhil Reddy Varimalla, Pawan Goyal
Comments: Accepted in LREC 2020

[16]. Detecting Potential Topics In News Using BERT, CRF and Wikipedia
链接 | https://arxiv.org/abs/2002.11402
作者 | Swapnil Ashok Jadhav
Comments: 6 pages, 6 tables, 1 figure, 2 examples. This is a report based on applied research work conducted at Dailyhunt

[17]. End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings
链接 |