% for intro
% @article{NGUYEN20159603,
% title = "Sentiment analysis on social media for stock movement prediction",
% journal = "Expert Systems with Applications",
% volume = "42",
% number = "24",
% pages = "9603 - 9611",
% year = "2015",
% issn = "0957-4174",
% doi = "https://doi.org/10.1016/j.eswa.2015.07.052",
% %url = "http://www.sciencedirect.com/science/article/pii/S0957417415005126",
% author = "Thien Hai Nguyen and Kiyoaki Shirai and Julien Velcin"
% }

@article{nguyen2015sentiment,
  title={Sentiment analysis on social media for stock movement prediction},
  author={Nguyen, Thien Hai and Shirai, Kiyoaki and Velcin, Julien},
  journal={Expert Systems with Applications},
  volume={42},
  number={24},
  pages={9603--9611},
  year={2015},
 % publisher={Elsevier}
}

% @article{HU2017436,
% title = "Opinion mining from online hotel reviews – A text summarization approach",
% journal = "Information Processing & Management",
% volume = "53",
% number = "2",
% pages = "436 - 449",
% year = "2017",
% %issn = "0306-4573",
% % doi = "https://doi.org/10.1016/j.ipm.2016.12.002",
% % url = "http://www.sciencedirect.com/science/article/pii/S0306457316306781",
% %author = "Ya-Han Hu and Yen-Liang Chen and Hui-Ling Chou"
% author={Nguyen, Thien Hai and Shirai, Kiyoaki and Velcin, Julien},
% }

@article{HU2017opinion,
  title={Opinion mining from online hotel reviews--a text summarization approach},
  author={Hu, Ya-Han and Chen, Yen-Liang and Chou, Hui-Ling},
  journal={Information Processing \& Management},
  volume={53},
  number={2},
  pages={436--449},
  year={2017},
  publisher={Elsevier}
}

@article{bollen2011twitter,
  title={Twitter mood predicts the stock market},
  author={Bollen, Johan and Mao, Huina and Zeng, Xiaojun},
  journal={Journal of computational science},
  volume={2},
  number={1},
  pages={1--8},
  year={2011},
  publisher={Elsevier}
}

@article{yu2010mining,
  title={Mining online reviews for predicting sales performance: A case study in the movie domain},
  author={Yu, Xiaohui and Liu, Yang and Huang, Xiangji and An, Aijun},
  journal={IEEE Transactions on Knowledge and Data engineering},
  volume={24},
  number={4},
  pages={720--734},
  year={2010},
  publisher={IEEE}
}

@inproceedings{kim2013h,
 author = {Kim, Suin and Zhang, Jianwen and Chen, Zheng and Oh, Alice and Liu, Shixia},
 title = {A Hierarchical Aspect-sentiment Model for Online Reviews},
 booktitle = {Proceedings of  AAAI},
 year = {2013},
 pages = {526--533},
 numpages = {8}
} 

@inproceedings{cui-etal-2017-superagent,
    title = {{S}uper{A}gent: A Customer Service Chatbot for E-commerce Websites},
    author = {Cui, Lei  and
      Huang, Shaohan  and
      Wei, Furu  and
      Tan, Chuanqi  and
      Duan, Chaoqun  and
      Zhou, Ming},
    booktitle = {Proceedings of ACL},
    year = {2017},
    pages = {97--102},
}

% @article{RAVI201514,
% title = {A survey on opinion mining and sentiment analysis: Tasks, approaches and applications},
% journal = {Knowledge-Based Systems},
% volume = {89},
% pages = {14 - 46},
% year = {2015},
% %issn = "0950-7051",
% % doi = "https://doi.org/10.1016/j.knosys.2015.06.015",
% % url = "http://www.sciencedirect.com/science/article/pii/S0950705115002336",
% author = {Kumar Ravi and Vadlamani Ravi}
% }

@article{RAVI2015a,
  title={A survey on opinion mining and sentiment analysis: tasks, approaches and applications},
  author={Ravi, Kumar and Ravi, Vadlamani},
  journal={Knowledge-Based Systems},
  volume={89},
  pages={14--46},
  year={2015},
  publisher={Elsevier}
}

@book{liu2012,
title={Sentiment Analysis and Opinion Mining},
subtitle={Synthesis Lectures on Human Language Technologies},
author={Bing Liu},
publisher={Morgan \& Claypool},
year={2012}
}

@BOOK{principles,
  TITLE = {Fundamental Principles of Optical Lithography},
  SUBTITLE = {The Science of Microfabrication},
  AUTHOR = {Mack, Chris A},
  YEAR = {2007}, % I looked it up
  PUBLISHER = {Wiley},
}


%%%%%%  ORL
%data MPQA
@article{wiebe2005annotating,
  title={Annotating expressions of opinions and emotions in language},
  author={Wiebe, Janyce and Wilson, Theresa and Cardie, Claire},
  journal={Language resources and evaluation},
  volume={39},
  number={2-3},
  pages={165--210},
  year={2005},
  publisher={Springer}
}

%%%%%%%%%%%% detect opinion expression
% Opinion mining and detect opinion expression
@inproceedings{irsoy2014opinion,
  title={Opinion mining with deep recurrent neural networks},
  author={Irsoy, Ozan and Cardie, Claire},
  booktitle={Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP)},
  pages={720--728},
  year={2014}
}

% detect opinion expression
@article{yang2014joint,
  title={Joint modeling of opinion expression extraction and attribute classification},
  author={Yang, Bishan and Cardie, Claire},
  journal={Transactions of ACL},
  volume={2},
  pages={505--516},
  year={2014},
  %publisher={MIT Press}
}

%detect opinion expression
@inproceedings{breck2007identifying,
  title={Identifying Expressions of Opinion in Context.},
  author={Breck, Eric and Choi, Yejin and Cardie, Claire},
  booktitle={Proceedings of IJCAI},
  volume={7},
  pages={2683--2688},
  year={2007}
}

% Other work looks into speciﬁc subcategories of ORL


%%%%%%%%%pipeline model:
@inproceedings{kim2006extracting,
  title={Extracting opinions, opinion holders, and topics expressed in online news media text},
  author={Kim, Soo-Min and Hovy, Eduard},
  booktitle={Proceedings of the Workshop on Sentiment and Subjectivity in Text},
  pages={1--8},
  year={2006},
  %organization={Association for Computational Linguistics}
}

@article{johansson2013relational,
  title={Relational features in fine-grained opinion analysis},
  author={Johansson, Richard and Moschitti, Alessandro},
  journal={Computational Linguistics},
  volume={39},
  number={3},
  pages={473--509},
  year={2013},
  publisher={MIT Press}
}


%%%%%%%%%%joint model:
@inproceedings{choi2006joint,
  title={Joint extraction of entities and relations for opinion recognition},
  author={Choi, Yejin and Breck, Eric and Cardie, Claire},
  booktitle={Proceedings of EMNLP},
  pages={431--439},
  year={2006},
  %organization={Association for Computational Linguistics}
}

@inproceedings{yang-cardie-2013-joint,
    title = "Joint Inference for Fine-grained Opinion Extraction",
    author = "Yang, Bishan  and
      Cardie, Claire",
    booktitle = "Proceedings of ACL",
    month = aug,
    year = "2013",
    %address = "Sofia, Bulgaria",
    %publisher = "Association for Computational Linguistics",
    % url = "https://www.aclweb.org/anthology/P13-1161",
    pages = "1640--1649",
}

@inproceedings{katiyar2016investigating,
  title={Investigating lstms for joint extraction of opinion entities and relations},
  author={Katiyar, Arzoo and Cardie, Claire},
  booktitle={Proceedings of ACL},
  pages={919--929},
  year={2016}
}


% 
@article{irsoy2013bidirectional,
  title={Bidirectional recursive neural networks for token-level labeling with structure},
  author={Irsoy, Ozan and Cardie, Claire},
  journal={arXiv preprint arXiv:1312.0493},
  year={2013}
}
%

%map 
@inproceedings{kim2006extracting,
  title={Extracting opinions, opinion holders, and topics expressed in online news media text},
  author={Kim, Soo-Min and Hovy, Eduard},
  booktitle={Proceedings of the Workshop on Sentiment and Subjectivity in Text},
  pages={1--8},
  year={2006},
  organization={Association for Computational Linguistics}
}

@inproceedings{ruppenhofer2008finding,
  title={Finding the Sources and Targets of Subjective Expressions},
  author={Ruppenhofer, Josef and Somasundaran, Swapna and Wiebe, Janyce},
  booktitle={Proceedings of LREC},
  year={2008}
}

% @article{ruppenhofer2008finding,
%   title={Finding the sources and targets of subjective expressions},
%   author={Ruppenhofer, Josef and Somasundaran, Swapna and Wiebe, Janyce},
%   year={2008}
% }

% multi-task-learning  SRL4ORL
@inproceedings{marasovic2017srl4orl,
  title={SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning with Semantic Role Labeling},
  author={Marasovi{\'c}, Ana and Frank, Anette},
  booktitle={Proceedings of NAACL-HLT},
  pages={583--594},
  year={2018}
}
% @article{marasovic2017srl4orl,
%   title={SRL4ORL: Improving opinion role labeling using multi-task learning with semantic role labeling},
%   author={Marasovi{\'c}, Ana and Frank, Anette},
%   journal={arXiv preprint arXiv:1711.00768},
%   year={2017}
% }

% Semantic-Aware ORL
@inproceedings{zhang2019enhancing,
  title={Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling},
  author={Zhang, Meishan and Liang, Peili and Fu, Guohong},
  booktitle={Proceedings of NAACL-HLT},
  pages={641--646},
  year={2019}
}

@inproceedings{devlin2018bert,
  title={BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding},
  author={Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and Toutanova, Kristina},
  booktitle={Proceedings of NAACL-HLT},
  pages={4171--4186},
  year={2019}
}

% @article{devlin2018bert,
%   title={Bert: Pre-training of deep bidirectional transformers for language understanding},
%   author={Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and Toutanova, Kristina},
%   journal={arXiv preprint arXiv:1810.04805},
%   year={2018}
% }


% parser for orl



%%%%%%%%%%%% parsing application
%% for srl
@inproceedings{roth2016neural,
  title={Neural Semantic Role Labeling with Dependency Path Embeddings},
  author={Roth, Michael and Lapata, Mirella},
  booktitle={Proceedings of ACL},
  pages={1192--1202},
  year={2016}
}
% @article{roth2016neural,
%   title={Neural semantic role labeling with dependency path embeddings},
%   author={Roth, Michael and Lapata, Mirella},
%   journal={arXiv preprint arXiv:1605.07515},
%   year={2016}
% }

@inproceedings{marcheggiani2017encoding,
  title={Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling},
  author={Marcheggiani, Diego and Titov, Ivan},
  booktitle={Proceedings of EMNLP},
  pages={1506--1515},
  year={2017}
}
% @article{marcheggiani2017encoding,
%   title={Encoding sentences with graph convolutional networks for semantic role labeling},
%   author={Marcheggiani, Diego and Titov, Ivan},
%   journal={arXiv preprint arXiv:1703.04826},
%   year={2017}
% }

@inproceedings{he2018syntax,
  title={Syntax for semantic role labeling, to be, or not to be},
  author={He, Shexia and Li, Zuchao and Zhao, Hai and Bai, Hongxiao},
  booktitle={Proceedings of ACL},
  pages={2061--2071},
  year={2018}
}

@inproceedings{strubell2018linguistically,
  title={Linguistically-Informed Self-Attention for Semantic Role Labeling},
  author={Strubell, Emma and Verga, Patrick and Andor, Daniel and Weiss, David and McCallum, Andrew},
  booktitle={Proceedings of EMNLP},
  pages={5027--5038},
  year={2018}
}

% @article{strubell2018linguistically,
%   title={Linguistically-informed self-attention for semantic role labeling},
%   author={Strubell, Emma and Verga, Patrick and Andor, Daniel and Weiss, David and McCallum, Andrew},
%   journal={arXiv preprint arXiv:1804.08199},
%   year={2018}
% }

@inproceedings{xia2019syntax,
  title={Syntax-aware Neural Semantic Role Labeling},
  author={Xia, Qingrong and Li, Zhenghua and Zhang, Min and Zhang Meishan and Fu, Guohong and Wang, Rui and Si, Luo},
  booktitle={Proceedings of AAAI},
  year={2019},
  pages={7305--7313}
}

@inproceedings{zhangyue2019syntax,
  title={Syntax-Enhanced Self-Attention-Based Semantic Role Labeling},
  author={Zhang, Yue and Wang, Rui and Si, Luo},
  booktitle={Proceedings of EMNLP-IJCNLP},
  pages={616--626},
  year={2019}
}

% @article{zhangyue2019syntax,
%   title={Syntax-Enhanced Self-Attention-Based Semantic Role Labeling},
%   author={Zhang, Yue and Wang, Rui and Si, Luo},
%   journal={arXiv preprint arXiv:1910.11204},
%   year={2019}
% }

@inproceedings{xia2019mtl,
  title={A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling},
  author={Xia, Qingrong and Li, Zhenghua and Zhang, Min},
  booktitle={Proceedings of EMNLP-IJCNLP},
  pages={5385--5395},
  year={2019}
}
% @article{xia2019mtl,
%   title={A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling},
%   author={Xia, Qingrong and Li, Zhenghua and Zhang, Min},
%   journal={arXiv preprint arXiv:1911.04641},
%   year={2019}
% }

@article{ruder2017overview,
  title={An overview of multi-task learning in deep neural networks},
  author={Ruder, Sebastian},
  journal={arXiv preprint arXiv:1706.05098},
  year={2017}
}

% @inproceedings{xia2019mtl,
%     title = {A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling},
%     author = {Xia, Qingrong  and
%       Li, Zhenghua  and
%       Zhang, Min},
%     booktitle = "Proceedings of EMNLPthe 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
%     month = nov,
%     year = "2019",
%     address = "Hong Kong, China",
%     publisher = "Association for Computational Linguistics",
%     url = "https://www.aclweb.org/anthology/D19-1541",
%     doi = "10.18653/v1/D19-1541",
%     pages = "5382--5392",
%     }

%first TPF
@article{collobert2011natural,
  title={Natural language processing (almost) from scratch},
  author={Collobert, Ronan and Weston, Jason and Bottou, L{\'e}on and Karlen, Michael and Kavukcuoglu, Koray and Kuksa, Pavel},
  journal={Journal of machine learning research},
  volume={12},
  number={Aug},
  pages={2493--2537},
  year={2011}
}
%TPF
@inproceedings{yang2016position,
  title={A position encoding convolutional neural network based on dependency tree for relation classification},
  author={Yang, Yunlun and Tong, Yunhai and Ma, Shulei and Deng, Zhi-Hong},
  booktitle={Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing},
  pages={65--74},
  year={2016}
}

%%%%%%%%%%% parser for other tasks 
% syntax-aware MT
@inproceedings{zhang2019syntaxMT,
  title={Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations},
  author={Zhang, Meishan and Li, Zhenghua and Fu, Guohong and Zhang, Min},
  booktitle={Proceedings of NAACL-HLT},
  pages={1151--1161},
  year={2019}
}
% @article{zhang2019syntaxMT,
%   title={Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations},
%   author={Zhang, Meishan and Li, Zhenghua and Fu, Guohong and Zhang, Min},
%   journal={arXiv preprint arXiv:1905.02878},
%   year={2019}
% }

%% tree-graph encoder



% TreeLSTM for SS and PD
@inproceedings{tai2015improved,
  title={Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks},
  author={Tai, Kai Sheng and Socher, Richard and Manning, Christopher D},
  booktitle={Proceedings of ACL-IJCNLP},
  pages={1556--1566},
  year={2015}
}
% @article{tai2015improved,
%   title={Improved semantic representations from tree-structured long short-term memory networks},
%   author={Tai, Kai Sheng and Socher, Richard and Manning, Christopher D},
%   journal={arXiv preprint arXiv:1503.00075},
%   year={2015}
% }

% proprose GCN ?
@article{kipf2016semi,
  title={Semi-supervised classification with graph convolutional networks},
  author={Kipf, Thomas N and Welling, Max},
  journal={arXiv preprint arXiv:1609.02907},
  year={2016}
}

%add self-loop for parsing
% @article{bastings2017graphx,
%   title={Graph convolutional encoders for syntax-aware neural machine translation},
%   author={Bastings, Joost and Titov, Ivan and Aziz, Wilker and Marcheggiani, Diego and Sima'an, Khalil},
%   journal={arXiv preprint arXiv:1704.04675},
%   year={2017}
% }
%add self-loop for parsing
@inproceedings{bastings2017graph,
  title={Graph Convolutional Encoders for Syntax-aware Neural Machine Translation},
  author={Bastings, Joost and Titov, Ivan and Aziz, Wilker and Marcheggiani, Diego and Sima’an, Khalil},
  booktitle={Proceedings of EMNLP},
  pages={1957--1967},
  year={2017}
}


% densely connection
@inproceedings{huang2017densely,
  title={Densely connected convolutional networks},
  author={Huang, Gao and Liu, Zhuang and Van Der Maaten, Laurens and Weinberger, Kilian Q},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={4700--4708},
  year={2017}
}

% densely connected GCN
@article{guo2019densely,
  title={Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning},
  author={Guo, Zhijiang and Zhang, Yan and Teng, Zhiyang and Lu, Wei},
  journal={Transactions of ACL},
  volume={7},
  pages={297--312},
  year={2019},
  publisher={MIT Press}
}

% most similar GCN (densely gcn)
@inproceedings{guo2019attention,
  title={Attention Guided Graph Convolutional Networks for Relation Extraction},
  author={Guo, Zhijiang and Zhang, Yan and Lu, Wei},
  booktitle={Proceedings of ACL},
  pages={241--251},
  year={2019}
}
% @article{guo2019attention,
%   title={Attention Guided Graph Convolutional Networks for Relation Extraction},
%   author={Guo, Zhijiang and Zhang, Yan and Lu, Wei},
%   journal={arXiv preprint arXiv:1906.07510},
%   year={2019}
% }

% for relation extraction
@inproceedings{miwa2016end,
  author    = {Miwa, Makoto  and  Bansal, Mohit},
  title     = {End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures},
  booktitle = {Proceedings of ACL},
  year      = {2016},
  pages     = {1105--1116}
}
% @article{miwa2016end,
%   title={End-to-end relation extraction using lstms on sequences and tree structures},
%   author={Miwa, Makoto and Bansal, Mohit},
%   journal={arXiv preprint arXiv:1601.00770},
%   year={2016}
% }

%% biaffine parser
@InProceedings{dozat2016deep,
	author    = {Dozat, Timothy and Manning, Christopher D.},
	title     = {Deep Biaffine Attention for Neural Dependecy Parsing},
	booktitle = {Proceedings of ICLR},
	year      = {2017}
}

% % biaffine parser
% @article{dozat2016deep,
%   title={Deep biaffine attention for neural dependency parsing},
%   author={Dozat, Timothy and Manning, Christopher D},
%   journal={arXiv preprint arXiv:1611.01734},
%   year={2016}
% }

%MTL
% % for srl
% @article{marasovic2017srl4orl,
%   title={SRL4ORL: Improving opinion role labeling using multi-task learning with semantic role labeling},
%   author={Marasovi{\'c}, Ana and Frank, Anette},
%   journal={arXiv preprint arXiv:1711.00768},
%   year={2017}
% }


% @inproceedings{zhang2019enhancing,
%   title={Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling},
%   author={Zhang, Meishan and Liang, Peili and Fu, Guohong},
%   booktitle={Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
%   pages={641--646},
%   year={2019}
% }

% % parsing application
% @article{tai2015improved,
%   title={Improved semantic representations from tree-structured long short-term memory networks},
%   author={Tai, Kai Sheng and Socher, Richard and Manning, Christopher D},
%   journal={arXiv preprint arXiv:1503.00075},
%   year={2015}
% }

% @article{zhang2019syntax,
%   title={Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations},
%   author={Zhang, Meishan and Li, Zhenghua and Fu, Guohong and Zhang, Min},
%   journal={arXiv preprint arXiv:1905.02878},
%   year={2019}
% }

% % GCN
% @article{guo2019attention,
%   title={Attention Guided Graph Convolutional Networks for Relation Extraction},
%   author={Guo, Zhijiang and Zhang, Yan and Lu, Wei},
%   journal={arXiv preprint arXiv:1906.07510},
%   year={2019}
% }

% @article{kipf2016semi,
%   title={Semi-supervised classification with graph convolutional networks},
%   author={Kipf, Thomas N and Welling, Max},
%   journal={arXiv preprint arXiv:1609.02907},
%   year={2016}
% }

% @inproceedings{huang2017densely,
%   title={Densely connected convolutional networks},
%   author={Huang, Gao and Liu, Zhuang and Van Der Maaten, Laurens and Weinberger, Kilian Q},
%   booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
%   pages={4700--4708},
%   year={2017}
% }

% @article{guo2019densely,
%   title={Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning},
%   author={Guo, Zhijiang and Zhang, Yan and Teng, Zhiyang and Lu, Wei},
%   journal={Transactions of the Association for Computational Linguistics},
%   volume={7},
%   pages={297--312},
%   year={2019},
%   publisher={MIT Press}
% }
% %add self-loop
% @article{bastings2017graphx,
%   title={Graph convolutional encoders for syntax-aware neural machine translation},
%   author={Bastings, Joost and Titov, Ivan and Aziz, Wilker and Marcheggiani, Diego and Sima'an, Khalil},
%   journal={arXiv preprint arXiv:1704.04675},
%   year={2017}
% }

% %TPF
% @inproceedings{yang2016position,
%   title={A position encoding convolutional neural network based on dependency tree for relation classification},
%   author={Yang, Yunlun and Tong, Yunhai and Ma, Shulei and Deng, Zhi-Hong},
%   booktitle={Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing},
%   pages={65--74},
%   year={2016}
% }

% %first TPF
% @article{collobert2011natural,
%   title={Natural language processing (almost) from scratch},
%   author={Collobert, Ronan and Weston, Jason and Bottou, L{\'e}on and Karlen, Michael and Kavukcuoglu, Koray and Kuksa, Pavel},
%   journal={Journal of machine learning research},
%   volume={12},
%   number={Aug},
%   pages={2493--2537},
%   year={2011}
% }

% % biaffine parser
% @article{dozat2016deep,
%   title={Deep biaffine attention for neural dependency parsing},
%   author={Dozat, Timothy and Manning, Christopher D},
%   journal={arXiv preprint arXiv:1611.01734},
%   year={2016}
% }

% %MTL

% @article{ruder2017overview,
%   title={An overview of multi-task learning in deep neural networks},
%   author={Ruder, Sebastian},
%   journal={arXiv preprint arXiv:1706.05098},
%   year={2017}
% }
% 
@inproceedings{collobert2008unified,
  title={A unified architecture for natural language processing: Deep neural networks with multitask learning},
  author={Collobert, Ronan and Weston, Jason},
  booktitle={Proceedings of ICML},
  pages={160--167},
  year={2008},
  %organization={ACM}
}

@inproceedings{pennington2014glove,
  title={Glove: Global vectors for word representation},
  author={Pennington, Jeffrey and Socher, Richard and Manning, Christopher},
  booktitle={Proceedings of EMNLP},
  pages={1532--1543},
  year={2014}
}


@article{kingma2014adam,
  title={Adam: A method for stochastic optimization},
  author={Kingma, Diederik P and Ba, Jimmy},
  journal={arXiv preprint arXiv:1412.6980},
  year={2014}
}
