references.bib

@article{appel2016,
  author  = {Appel, Orestes and Chiclana, Francisco and Carter, Jenny
		  and Fujita, Hamido},
  year    = {2016},
  title   = {A hybrid approach to the sentiment analysis problem at the
		  sentence level},
  pages   = {110--124},
  volume  = {108},
  journal = {Knowledge-Based Systems}
}

@article{bahdanau2014,
  author        = {{Bahdanau}, Dzmitry and {Cho}, Kyunghyun and {Bengio}, Yoshua},
  title         = {{Neural Machine Translation by Jointly Learning to Align and Translate}},
  journal       = {arXiv e-prints},
  keywords      = {Computer Science - Computation and Language, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Statistics - Machine Learning},
  year          = 2014,
  month         = sep,
  eid           = {arXiv:1409.0473},
  pages         = {arXiv:1409.0473},
  archiveprefix = {arXiv},
  eprint        = {1409.0473},
  primaryclass  = {cs.CL},
  adsurl        = {https://ui.adsabs.harvard.edu/abs/2014arXiv1409.0473B},
  adsnote       = {Provided by the SAO/NASA Astrophysics Data System}
}

@inproceedings{baziotis2017,
  author    = {Baziotis, Christos and Pelekis, Nikos and Doulkeridis,
		  Christos},
  title     = {DataStories at SemEval-2017 Task 4: Deep LSTM with
		  Attention for Message-level and Topic-based Sentiment
		  Analysis},
  url       = {https://www.aclweb.org/anthology/S17-2126},
  pages     = {747--754},
  publisher = {{Association for Computational Linguistics}},
  booktitle = {Proceedings of the 11th International Workshop on Semantic
		  Evaluation (SemEval-2017)},
  year      = {2017},
  address   = {Vancouver, Canada},
  doi       = {10.18653/v1/S17-2126}
}

@article{bengio1994,
  author  = {Bengio, Yoshua and Simard, Patrice and Frasconi, Paolo and
		  others},
  year    = {1994},
  title   = {Learning long-term dependencies with gradient descent is
		  difficult},
  pages   = {157--166},
  volume  = {5},
  number  = {2},
  journal = {IEEE transactions on neural networks}
}

@article{bengio2003,
  author  = {Bengio, Yoshua and Ducharme, R{\'e}jean and Vincent,
		  Pascal and Jauvin, Christian},
  year    = {2003},
  title   = {A neural probabilistic language model},
  pages   = {1137--1155},
  volume  = {3},
  number  = {Feb},
  journal = {Journal of machine learning research}
}

@article{bhuwandhingra2017,
  author        = {{Dhingra}, Bhuwan and {Liu}, Hanxiao and {Salakhutdinov}, Ruslan and {Cohen}, William W.},
  title         = {{A Comparative Study of Word Embeddings for Reading Comprehension}},
  journal       = {arXiv e-prints},
  keywords      = {Computer Science - Computation and Language},
  year          = 2017,
  month         = mar,
  eid           = {arXiv:1703.00993},
  pages         = {arXiv:1703.00993},
  archiveprefix = {arXiv},
  eprint        = {1703.00993},
  primaryclass  = {cs.CL},
  adsurl        = {https://ui.adsabs.harvard.edu/abs/2017arXiv170300993D},
  adsnote       = {Provided by the SAO/NASA Astrophysics Data System}
}


@article{bojanowski2017,
  author   = {Bojanowski, Piotr and Grave, Edouard and Joulin, Armand
		  and Mikolov, Tomas},
  year     = {2017},
  title    = {Enriching Word Vectors with Subword Information},
  url      = {http://aclweb.org/anthology/Q17-1010},
  keywords = {Word Embeddings},
  pages    = {135--146},
  volume   = {5},
  journal  = {Transactions of the Association for Computational
		  Linguistics}
}

@inproceedings{chen2017,
  author    = {Chen, Peng and Sun, Zhongqian and Bing, Lidong and Yang,
		  Wei},
  title     = {Recurrent attention network on memory for aspect sentiment
		  analysis},
  keywords  = {Attention;GRU;Memory Networks},
  pages     = {452--461},
  booktitle = {Proceedings of the 2017 Conference on Empirical Methods in
		  Natural Language Processing},
  year      = {2017}
}

@article{chung2014,
  author        = {{Chung}, Junyoung and {Gulcehre}, Caglar and {Cho}, KyungHyun and {Bengio}, Yoshua},
  title         = {{Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling}},
  journal       = {arXiv e-prints},
  keywords      = {Computer Science - Neural and Evolutionary Computing, Computer Science - Machine Learning},
  year          = 2014,
  month         = dec,
  eid           = {arXiv:1412.3555},
  pages         = {arXiv:1412.3555},
  archiveprefix = {arXiv},
  eprint        = {1412.3555},
  primaryclass  = {cs.NE},
  adsurl        = {https://ui.adsabs.harvard.edu/abs/2014arXiv1412.3555C},
  adsnote       = {Provided by the SAO/NASA Astrophysics Data System}
}


@misc{colah-understanding-lstm,
  author  = {Chirstopher Olah},
  month   = dec,
  year    = 2018,
  title   = {Understanding LSTM Networks -- colah's blog},
  url     = {https://colah.github.io/posts/2015-08-Understanding-LSTMs/},
  urldate = {4/15/2019}
}

@inproceedings{collobert2008,
  author    = {Collobert, Ronan and Weston, Jason},
  title     = {A Unified Architecture for Natural Language Processing:
		  Deep Neural Networks with Multitask Learning},
  url       = {http://doi.acm.org/10.1145/1390156.1390177},
  pages     = {160--167},
  publisher = {ACM},
  isbn      = {978-1-60558-205-4},
  series    = {ICML '08},
  booktitle = {Proceedings of the 25th International Conference on
		  Machine Learning},
  year      = {2008},
  address   = {New York, NY, USA},
  doi       = {10.1145/1390156.1390177}
}

@article{collobert2011,
  author  = {Collobert, Ronan and Weston, Jason and Bottou, L{\'e}on
		  and Karlen, Michael and Kavukcuoglu, Koray and Kuksa,
		  Pavel},
  year    = {2011},
  title   = {Natural language processing (almost) from scratch},
  pages   = {2493--2537},
  volume  = {12},
  number  = {Aug},
  journal = {Journal of machine learning research}
}

@article{deerwester1990,
  author  = {Deerwester, Scott and Dumais, Susan T. and Furnas, George
		  W. and Landauer, Thomas K. and Harshman, Richard},
  year    = {1990},
  title   = {Indexing by latent semantic analysis},
  pages   = {391--407},
  volume  = {41},
  number  = {6},
  journal = {Journal of the American society for information science}
}

@inproceedings{dehongma2017,
  author    = {Dehong Ma and Sujian Li and Xiaodong Zhang and Houfeng Wang},
  title     = {Interactive Attention Networks for Aspect-Level Sentiment
		  Classification},
  keywords  = {Attention},
  pages     = {4068--4074},
  booktitle = {Proceedings of the Twenty-Sixth International Joint
		  Conference on Artificial Intelligence, IJCAI-17},
  year      = {2017},
  doi       = {10.24963/ijcai.2017/568}
}

@inproceedings{dong,
  author    = {Dong, Li and Wei, Furu and Tan, Chuanqi and Tang, Duyu and
		  Zhou, Ming and Xu, Ke},
  title     = {Adaptive Recursive Neural Network for Target-dependent
		  Twitter Sentiment Classification},
  pages     = {49--54},
  publisher = {{Association for Computational Linguistics}},
  editor    = {Toutanova, Kristina and Wu, Hua},
  booktitle = {Proceedings of the 52nd Annual Meeting of the Association
		  for Computational Linguistics (Volume 1: Long Papers)},
  year      = {2014},
  address   = {Stroudsburg, PA, USA},
  doi       = {10.3115/v1/P14-2009}
}

@article{frege1892,
  author  = {Frege, Gottlob},
  year    = {1892},
  title   = {On sense and reference, 1892},
  pages   = {563--583},
  journal = {Readings in the Philosophy of Language}
}

@inproceedings{gallwitz1996,
  author    = {Gallwitz, F. and Noth, E. and Niemann, H.},
  title     = {A category based approach for recognition of
		  out-of-vocabulary words},
  keywords  = {OOV Literature},
  pages     = {228--231},
  publisher = {{Institute of Electrical and Electronics Engineers}},
  isbn      = {0-7803-3555-4},
  editor    = {Bunnell, H. Timothy. Ed and Idsardi, William},
  booktitle = {ICSLP 96},
  year      = {1996},
  address   = {New York},
  doi       = {10.1109/ICSLP.1996.607083}
}

@inproceedings{gers2000,
  author    = {Gers, F. A.},
  title     = {Learning to forget: continual prediction with LSTM},
  keywords  = {LSTM},
  pages     = {850--855},
  publisher = {IEE},
  isbn      = {0 85296 721 7},
  series    = {Conference publication / Institution of Electrical
		  Engineers},
  booktitle = {ICANN 99, Ninth International Conference on Artificial
		  Neural Networks},
  year      = {19XX},
  address   = {London},
  doi       = {10.1049/cp:19991218}
}

@inproceedings{glorot2011,
  author    = {Glorot, Xavier and Bordes, Antoine and Bengio, Yoshua},
  title     = {Deep sparse rectifier neural networks},
  pages     = {315--323},
  booktitle = {Proceedings of the fourteenth international conference on
		  artificial intelligence and statistics},
  year      = {2011}
}

@article{goldberg2015,
  author        = {{Goldberg}, Yoav},
  title         = {{A Primer on Neural Network Models for Natural Language Processing}},
  journal       = {arXiv e-prints},
  keywords      = {Computer Science - Computation and Language},
  year          = 2015,
  month         = oct,
  eid           = {arXiv:1510.00726},
  pages         = {arXiv:1510.00726},
  archiveprefix = {arXiv},
  eprint        = {1510.00726},
  primaryclass  = {cs.CL},
  adsurl        = {https://ui.adsabs.harvard.edu/abs/2015arXiv151000726G},
  adsnote       = {Provided by the SAO/NASA Astrophysics Data System}
}


@book{graves2012,
  year      = {2012},
  title     = {Supervised sequence labelling with recurrent neural
		  networks},
  price     = {{\pounds}90.00},
  keywords  = {LSTM},
  address   = {Heidelberg and London},
  volume    = {v. 385},
  publisher = {Springer},
  isbn      = {978-3-642-24796-5},
  series    = {Studies in Computational Intelligence},
  editor    = {Graves, Alex},
  doi       = {10.1007/978-3-642-24797-2}
}

@incollection{graves2012b,
  author    = {Graves, Alex},
  title     = {Supervised Sequence Labelling},
  keywords  = {LSTM},
  pages     = {5--13},
  volume    = {385},
  publisher = {Springer},
  isbn      = {978-3-642-24796-5},
  series    = {Studies in Computational Intelligence},
  editor    = {Graves, Alex},
  booktitle = {Supervised sequence labelling with recurrent neural
		  networks},
  year      = {2012},
  address   = {Heidelberg and London},
  doi       = {10.1007/978-3-642-24797-2{\textunderscore }2}
}

@article{hermann2015,
  author        = {{Hermann}, Karl Moritz and {Ko{\v{c}}isk{\'y}}, Tom{\'a}{\v{s}} and {Grefenstette}, Edward and {Espeholt}, Lasse and {Kay}, Will and {Suleyman}, Mustafa and {Blunsom}, Phil},
  title         = {{Teaching Machines to Read and Comprehend}},
  journal       = {arXiv e-prints},
  keywords      = {Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing},
  year          = 2015,
  month         = jun,
  eid           = {arXiv:1506.03340},
  pages         = {arXiv:1506.03340},
  archiveprefix = {arXiv},
  eprint        = {1506.03340},
  primaryclass  = {cs.CL},
  adsurl        = {https://ui.adsabs.harvard.edu/abs/2015arXiv150603340H},
  adsnote       = {Provided by the SAO/NASA Astrophysics Data System}
}


@article{hochreiter1997,
  author   = {Hochreiter, Sepp and Schmidhuber, J{\"u}rgen},
  year     = {1997},
  title    = {Long Short-Term Memory},
  keywords = {LSTM},
  pages    = {1735--1780},
  volume   = {9},
  number   = {8},
  issn     = {0899-7667},
  journal  = {Neural Computation},
  doi      = {10.1162/neco.1997.9.8.1735}
}

@inproceedings{jiang2011,
  author    = {Jiang, Long and Yu, Mo and Zhou, Ming and Liu, Xiaohua and
		  Zhao, Tiejun},
  title     = {Target-dependent Twitter Sentiment Classification},
  url       = {http://dl.acm.org/citation.cfm?id=2002472.2002492},
  pages     = {151--160},
  publisher = {{Association for Computational Linguistics}},
  isbn      = {978-1-932432-87-9},
  series    = {HLT '11},
  booktitle = {Proceedings of the 49th Annual Meeting of the Association
		  for Computational Linguistics: Human Language Technologies
		  - Volume 1},
  year      = {2011},
  address   = {Stroudsburg, PA, USA}
}

@inproceedings{jiweili2015,
  title     = {When Are Tree Structures Necessary for Deep Learning of Representations?},
  author    = {Li, Jiwei  and
      Luong, Thang  and
      Jurafsky, Dan  and
      Hovy, Eduard},
  booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing},
  month     = sep,
  year      = {2015},
  address   = {Lisbon, Portugal},
  publisher = {Association for Computational Linguistics},
  url       = {https://www.aclweb.org/anthology/D15-1278},
  doi       = {10.18653/v1/D15-1278},
  pages     = {2304--2314}
}

@inproceedings{kaishengtai2015,
  title     = {Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks},
  author    = {{K. S. Tai} and {R. Socher} and {C. D.
		  Manning}},
  booktitle = {Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
  month     = jul,
  year      = {2015},
  address   = {Beijing, China},
  publisher = {Association for Computational Linguistics},
  url       = {https://www.aclweb.org/anthology/P15-1150},
  doi       = {10.3115/v1/P15-1150},
  pages     = {1556--1566}
}

@inproceedings{kalchbrenner2014,
  title     = {A Convolutional Neural Network for Modelling Sentences},
  author    = {{N. Kalchbrenner} and {E. Grefenstette} and {P.
		  Blunsom}},
  booktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = jun,
  year      = {2014},
  address   = {Baltimore, Maryland},
  publisher = {Association for Computational Linguistics},
  url       = {https://www.aclweb.org/anthology/P14-1062},
  doi       = {10.3115/v1/P14-1062},
  pages     = {655--665}
}

@inproceedings{kelvinxu2015,
  author    = {Xu, Kelvin and Ba, Jimmy Lei and Kiros, Ryan and Cho, Kyunghyun and Courville, Aaron and Salakhutdinov, Ruslan and Zemel, Richard S. and Bengio, Yoshua},
  title     = {Show, Attend and Tell: Neural Image Caption Generation with Visual Attention},
  year      = {2015},
  publisher = {JMLR.org},
  booktitle = {Proceedings of the 32nd International Conference on International Conference on Machine Learning - Volume 37},
  pages     = {2048–2057},
  numpages  = {10},
  location  = {Lille, France},
  series    = {ICML'15}
}

@article{kharde2016,
  author        = {{Kharde}, Vishal. A. and {Sonawane}, Sheetal., Prof.},
  title         = {{Sentiment Analysis of Twitter Data: A Survey of Techniques}},
  journal       = {arXiv e-prints},
  keywords      = {Computer Science - Computation and Language, I.2.7},
  year          = 2016,
  month         = jan,
  eid           = {arXiv:1601.06971},
  pages         = {arXiv:1601.06971},
  archiveprefix = {arXiv},
  eprint        = {1601.06971},
  primaryclass  = {cs.CL},
  adsurl        = {https://ui.adsabs.harvard.edu/abs/2016arXiv160106971K},
  adsnote       = {Provided by the SAO/NASA Astrophysics Data System}
}

@inproceedings{kiritchenko,
  author    = {Kiritchenko, Svetlana and Zhu, Xiaodan and Cherry, Colin
		  and Mohammad, Saif},
  title     = {NRC-Canada-2014: Detecting Aspects and Sentiment in
		  Customer Reviews},
  pages     = {437--442},
  publisher = {{Association for Computational Linguistics}},
  editor    = {Nakov, Preslav and Zesch, Torsten},
  booktitle = {Proceedings of the 8th International Workshop on Semantic
		  Evaluation (SemEval 2014)},
  year      = {2014},
  address   = {Stroudsburg, PA, USA},
  doi       = {10.3115/v1/S14-2076}
}

@inproceedings{lakkaraju2014,
  author    = {Lakkaraju, Himabindu and Socher, Richard and Manning,
		  Chris},
  title     = {Aspect specific sentiment analysis using hierarchical deep
		  learning},
  booktitle = {NIPS Workshop on deep learning and representation
		  learning},
  year      = {2014}
}

@incollection{lecun1998,
  author    = {LeCun, Yann A. and Bottou, L{\'e}on and Orr, Genevieve B.
		  and M{\"u}ller, Klaus-Robert},
  title     = {Efficient BackProp},
  pages     = {9--48},
  volume    = {7700},
  publisher = {Springer},
  isbn      = {978-3-642-35288-1},
  series    = {LNCS sublibrary. SL 1, Theoretical computer science and
		  general issues},
  editor    = {Montavon, Gr{\'e}goire and Orr, Genevieve and M{\"u}ller,
		  Klaus-Robert},
  booktitle = {Neural networks},
  year      = {2012},
  address   = {Heidelberg},
  doi       = {10.1007/978-3-642-35289-8{\textunderscore }3}
}

@article{liu2012,
  author  = {Liu, Bing},
  year    = {2012},
  title   = {Sentiment analysis and opinion mining},
  pages   = {1--167},
  volume  = {5},
  number  = {1},
  journal = {Synthesis lectures on human language technologies}
}

@inproceedings{ma2018,
  author    = {Ma, Yukun and Peng, Haiyun and Cambria, Erik},
  title     = {Targeted aspect-based sentiment analysis via embedding
		  commonsense knowledge into an attentive LSTM},
  url       = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16541/16152},
  pages     = {5876--5883},
  booktitle = {Proceedings of AAAI},
  year      = {2018}
}

@article{manning2010,
  author  = {Manning, Christopher and Raghavan, Prabhakar and
		  Sch{\"u}tze, Hinrich},
  year    = {2010},
  title   = {Introduction to information retrieval},
  pages   = {100--103},
  volume  = {16},
  number  = {1},
  journal = {Natural Language Engineering}
}

@inproceedings{mikolov2013,
  author    = {Mikolov, Tomas and Sutskever, Ilya and Chen, Kai and
		  Corrado, Greg and Dean, Jeffrey},
  title     = {Distributed Representations of Words and Phrases and Their
		  Compositionality},
  url       = {http://dl.acm.org/citation.cfm?id=2999792.2999959},
  keywords  = {Word Embeddings},
  pages     = {3111--3119},
  publisher = {{Curran Associates Inc}},
  series    = {NIPS'13},
  booktitle = {Proceedings of the 26th International Conference on Neural
		  Information Processing Systems - Volume 2},
  year      = {2013},
  address   = {USA}
}

@article{mikolov2013b,
  author        = {{Mikolov}, Tomas and {Chen}, Kai and {Corrado}, Greg and {Dean}, Jeffrey},
  title         = {{Efficient Estimation of Word Representations in Vector Space}},
  journal       = {arXiv e-prints},
  keywords      = {Computer Science - Computation and Language},
  year          = 2013,
  month         = jan,
  eid           = {arXiv:1301.3781},
  pages         = {arXiv:1301.3781},
  archiveprefix = {arXiv},
  eprint        = {1301.3781},
  primaryclass  = {cs.CL},
  adsurl        = {https://ui.adsabs.harvard.edu/abs/2013arXiv1301.3781M},
  adsnote       = {Provided by the SAO/NASA Astrophysics Data System}
}


@inproceedings{mikolov2013c,
  author    = {Mikolov, Tomas and Yih, Wen-tau and Zweig, Geoffrey},
  title     = {Linguistic regularities in continuous space word
		  representations},
  pages     = {746--751},
  booktitle = {Proceedings of the 2013 Conference of the North American
		  Chapter of the Association for Computational Linguistics:
		  Human Language Technologies},
  year      = {2013}
}

@inproceedings{moore2018,
  title     = {Bringing replication and reproduction together with generalisability in {NLP}: Three reproduction studies for Target Dependent Sentiment Analysis},
  author    = {Moore, Andrew  and
      Rayson, Paul},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
  month     = aug,
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  url       = {https://www.aclweb.org/anthology/C18-1097},
  pages     = {1132--1144}
}

@inproceedings{nakov2016,
  author    = {Nakov, Preslav and Ritter, Alan and Rosenthal, Sara and
		  Sebastiani, Fabrizio and Stoyanov, Veselin},
  title     = {SemEval-2016 task 4: Sentiment analysis in Twitter},
  pages     = {1--18},
  booktitle = {Proceedings of the 10th international workshop on semantic
		  evaluation (semeval-2016)},
  year      = {2016}
}

@article{naptali2012,
  author   = {Naptali, Welly and Tsuchiya, Masatoshi and Nakagawa,
		  Seiichi},
  year     = {2012},
  title    = {Class-Based N-Gram Language Model for New Words Using
		  Out-of-Vocabulary to In-Vocabulary Similarity},
  keywords = {OOV Literature},
  pages    = {2308--2317},
  volume   = {E95.D},
  number   = {9},
  issn     = {0916-8532},
  journal  = {IEICE Transactions on Information and Systems},
  doi      = {10.1587/transinf.E95.D.2308}
}

@inproceedings{nguyen2015,
  author    = {Nguyen, Thien Hai and Shirai, Kiyoaki},
  title     = {Phrasernn: Phrase recursive neural network for
		  aspect-based sentiment analysis},
  pages     = {2509--2514},
  booktitle = {Proceedings of the 2015 Conference on Empirical Methods in
		  Natural Language Processing},
  year      = {2015}
}

@inproceedings{pang2002,
  author    = {Pang, Bo and Lee, Lillian and Vaithyanathan, Shivakumar},
  title     = {Thumbs Up?: Sentiment Classification Using Machine
		  Learning Techniques},
  url       = {https://doi.org/10.3115/1118693.1118704},
  pages     = {79--86},
  publisher = {{Association for Computational Linguistics}},
  series    = {EMNLP '02},
  booktitle = {Proceedings of the ACL-02 Conference on Empirical Methods
		  in Natural Language Processing - Volume 10},
  year      = {2002},
  address   = {Stroudsburg, PA, USA},
  doi       = {10.3115/1118693.1118704}
}

@article{pang2008,
  author  = {Pang, Bo and Lee, Lillian and others},
  year    = {2008},
  title   = {Opinion mining and sentiment analysis},
  pages   = {1--135},
  volume  = {2},
  number  = {1--2},
  journal = {Foundations and Trends$\backslash$textregistered in
		  Information Retrieval}
}

@inproceedings{pennington,
  author    = {Pennington, Jeffrey and Socher, Richard and Manning,
		  Christopher},
  title     = {Glove: Global Vectors for Word Representation},
  keywords  = {Word Embeddings},
  pages     = {1532--1543},
  publisher = {{Association for Computational Linguistics}},
  editor    = {{Alessandro Moschitti}, Qatar Computing Research Institute
		  and {Bo Pang}, Google and {Walter Daelemans}, University of
		  Antwerp},
  booktitle = {Proceedings of the 2014 Conference on Empirical Methods in
		  Natural Language Processing (EMNLP)},
  year      = {2014},
  address   = {Stroudsburg, PA, USA},
  doi       = {10.3115/v1/D14-1162}
}

@inproceedings{pontiki,
  author    = {Pontiki, Maria and Galanis, Dimitris and Pavlopoulos, John
		  and Papageorgiou, Harris and Androutsopoulos, Ion and
		  Manandhar, Suresh},
  title     = {SemEval-2014 Task 4: Aspect Based Sentiment Analysis},
  pages     = {27--35},
  publisher = {{Association for Computational Linguistics}},
  editor    = {Nakov, Preslav and Zesch, Torsten},
  booktitle = {Proceedings of the 8th International Workshop on Semantic
		  Evaluation (SemEval 2014)},
  year      = {2014},
  address   = {Stroudsburg, PA, USA},
  doi       = {10.3115/v1/S14-2004}
}

@inproceedings{reimers2017,
  title     = {Reporting Score Distributions Makes a Difference: Performance Study of {LSTM}-networks for Sequence Tagging},
  author    = {Nil Reimers and Iryna Gurevych},
  booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  month     = sep,
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  url       = {https://www.aclweb.org/anthology/D17-1035},
  doi       = {10.18653/v1/D17-1035},
  pages     = {338--348},
  abstract  = {In this paper we show that reporting a single performance score is insufficient to compare non-deterministic approaches. We demonstrate for common sequence tagging tasks that the seed value for the random number generator can result in statistically significant ($p < 10^{-4}$) differences for state-of-the-art systems. For two recent systems for NER, we observe an absolute difference of one percentage point F₁-score depending on the selected seed value, making these systems perceived either as state-of-the-art or mediocre. Instead of publishing and reporting single performance scores, we propose to compare score distributions based on multiple executions. Based on the evaluation of 50.000 LSTM-networks for five sequence tagging tasks, we present network architectures that produce both superior performance as well as are more stable with respect to the remaining hyperparameters.}
}

@inproceedings{rosenthal2015,
  author    = {Rosenthal, Sara and Nakov, Preslav and Kiritchenko,
		  Svetlana and Mohammad, Saif and Ritter, Alan and Stoyanov,
		  Veselin},
  title     = {Semeval-2015 task 10: Sentiment analysis in twitter},
  pages     = {451--463},
  booktitle = {Proceedings of the 9th international workshop on semantic
		  evaluation (SemEval 2015)},
  year      = {2015}
}

@article{rumelhart1988,
  author  = {Rumelhart, David E. and Hinton, Geoffrey E. and Williams,
		  Ronald J. and others},
  year    = {1988},
  title   = {Learning representations by back-propagating errors},
  pages   = {1},
  volume  = {5},
  number  = {3},
  journal = {Cognitive modeling}
}

@inproceedings{saeidi2016,
  author    = {Saeidi, Marzieh and Bouchard, Guillaume and Liakata, Maria
		  and Riedel, Sebastian},
  title     = {SentiHood: Targeted Aspect Based Sentiment Analysis
		  Dataset for Urban Neighbourhoods},
  url       = {http://www.aclweb.org/anthology/C16-1146},
  pages     = {1546--1556},
  publisher = {{The COLING 2016 Organizing Committee}},
  booktitle = {Proceedings of COLING 2016, the 26th International
		  Conference on Computational Linguistics: Technical Papers},
  year      = {2016}
}

@inproceedings{socher2011,
  author    = {Socher, Richard and Pennington, Jeffrey and Huang, Eric H.
		  and Ng, Andrew Y. and Manning, Christopher D.},
  title     = {Semi-supervised Recursive Autoencoders for Predicting
		  Sentiment Distributions},
  url       = {http://dl.acm.org/citation.cfm?id=2145432.2145450},
  pages     = {151--161},
  publisher = {{Association for Computational Linguistics}},
  isbn      = {978-1-937284-11-4},
  series    = {EMNLP '11},
  booktitle = {Proceedings of the Conference on Empirical Methods in
		  Natural Language Processing},
  year      = {2011},
  address   = {Stroudsburg, PA, USA}
}

@inproceedings{socher2013,
  author    = {Socher, Richard and Perelygin, Alex and Wu, Jean and
		  Chuang, Jason and Manning, Christopher D. and Ng, Andrew
		  and Potts, Christopher},
  title     = {Recursive Deep Models for Semantic Compositionality Over a
		  Sentiment Treebank},
  url       = {http://www.aclweb.org/anthology/D13-1170},
  pages     = {1631--1642},
  publisher = {{Association for Computational Linguistics}},
  booktitle = {Proceedings of the 2013 Conference on Empirical Methods in
		  Natural Language Processing},
  year      = {2013}
}

@article{srivastava2014,
  author  = {Srivastava, Nitish and Hinton, Geoffrey and Krizhevsky,
		  Alex and Sutskever, Ilya and Salakhutdinov, Ruslan},
  year    = {2014},
  title   = {Dropout: A Simple Way to Prevent Neural Networks from
		  Overfitting},
  url     = {http://dl.acm.org/citation.cfm?id=2627435.2670313},
  pages   = {1929--1958},
  volume  = {15},
  number  = {1},
  issn    = {1532-4435},
  journal = {J. Mach. Learn. Res.}
}

@inproceedings{tang,
  author    = {Tang, Duyu and Wei, Furu and Yang, Nan and Zhou, Ming and
		  Liu, Ting and Qin, Bing},
  title     = {Learning Sentiment-Specific Word Embedding for Twitter
		  Sentiment Classification},
  pages     = {1555--1565},
  publisher = {{Association for Computational Linguistics}},
  editor    = {Toutanova, Kristina and Wu, Hua},
  booktitle = {Proceedings of the 52nd Annual Meeting of the Association
		  for Computational Linguistics (Volume 1: Long Papers)},
  year      = {2014},
  address   = {Stroudsburg, PA, USA},
  doi       = {10.3115/v1/P14-1146}
}

@inproceedings{tang2016,
  author    = {Tang, Duyu and Qin, Bing and Liu, Ting},
  title     = {Aspect Level Sentiment Classification with Deep Memory
		  Network},
  keywords  = {Memory Networks},
  pages     = {214--224},
  publisher = {{Association for Computational Linguistics}},
  editor    = {Su, Jian and Duh, Kevin and Carreras, Xavier},
  booktitle = {Proceedings of the 2016 Conference on Empirical Methods in
		  Natural Language Processing},
  year      = {2016},
  address   = {Stroudsburg, PA, USA},
  doi       = {10.18653/v1/D16-1021}
}

@inproceedings{tang2016b,
  author    = {Tang, Duyu and Qin, Bing and Feng, Xiaocheng and Liu,
		  Ting},
  title     = {Effective LSTMs for Target-Dependent Sentiment
		  Classification},
  url       = {http://www.aclweb.org/anthology/C16-1311},
  pages     = {3298--3307},
  publisher = {{The COLING 2016 Organizing Committee}},
  booktitle = {Proceedings of COLING 2016, the 26th International
		  Conference on Computational Linguistics: Technical Papers},
  year      = {2016}
}

@inproceedings{tay2017,
  author    = {Tay, Yi and Tuan, Luu Anh and Hui, Siu Cheung},
  title     = {Dyadic Memory Networks for Aspect-based Sentiment
		  Analysis},
  keywords  = {Memory Networks},
  pages     = {107--116},
  publisher = {ACM},
  isbn      = {9781450349185},
  editor    = {Lim, Ee-Peng},
  booktitle = {Proceedings of the 2017 ACM on Conference on Information
		  and Knowledge Management},
  year      = {2017},
  address   = {New York, NY},
  doi       = {10.1145/3132847.3132936}
}

@inproceedings{vo2015,
  author    = {Vo, Duy-Tin and Zhang, Yue},
  title     = {Target-dependent Twitter Sentiment Classification with
		  Rich Automatic Features},
  url       = {http://dl.acm.org/citation.cfm?id=2832415.2832437},
  pages     = {1347--1353},
  publisher = {{AAAI Press}},
  isbn      = {978-1-57735-738-4},
  series    = {IJCAI'15},
  booktitle = {Proceedings of the 24th International Conference on
		  Artificial Intelligence},
  year      = {2015}
}

@inproceedings{wagner2014,
  author    = {Wagner, Joachim and Arora, Piyush and Cortes, Santiago and
		  Barman, Utsab and Bogdanova, Dasha and Foster, Jennifer and
		  Tounsi, Lamia},
  title     = {Dcu: Aspect-based polarity classification for semeval task
		  4},
  pages     = {223--229},
  booktitle = {Proceedings of the 8th international workshop on semantic
		  evaluation (SemEval 2014)},
  year      = {2014}
}

@inproceedings{wang,
  author    = {Wang, Yequan and Huang, Minlie and zhu, xiaoyan and Zhao,
		  Li},
  title     = {Attention-based LSTM for Aspect-level Sentiment
		  Classification},
  keywords  = {Attention},
  pages     = {606--615},
  publisher = {{Association for Computational Linguistics}},
  editor    = {Su, Jian and Duh, Kevin and Carreras, Xavier},
  booktitle = {Proceedings of the 2016 Conference on Empirical Methods in
		  Natural Language Processing},
  year      = {2016},
  address   = {Stroudsburg, PA, USA},
  doi       = {10.18653/v1/D16-1058}
}

@inproceedings{wang2017,
  author    = {Wang, Bo and Liakata, Maria and Zubiaga, Arkaitz and
		  Procter, Rob},
  title     = {TDParse: Multi-target-specific sentiment recognition on
		  Twitter},
  url       = {http://aclweb.org/anthology/E17-1046},
  pages     = {483--493},
  publisher = {{Association for Computational Linguistics}},
  booktitle = {Proceedings of the 15th Conference of the European Chapter
		  of the Association for Computational Linguistics: Volume 1,
		  Long Papers},
  year      = {2017}
}

@article{wang2018,
  author   = {Wang, Shuai and Mazumder, Sahisnu and Liu, Bing and Zhou,
		  Mianwei and Chang, Yi},
  year     = {2018},
  title    = {Target-Sensitive Memory Networks for Aspect Sentiment
		  Classification},
  url      = {http://www.aclweb.org/anthology/P18-1088},
  keywords = {Memory Networks},
  pages    = {957--967},
  volume   = {1},
  journal  = {Proceedings of the 56th Annual Meeting of the Association
		  for Computational Linguistics (Volume 1: Long Papers)}
}

@inproceedings{xue2018,
  title     = {Aspect Based Sentiment Analysis with Gated Convolutional Networks},
  author    = {Xue, Wei  and
      Li, Tao},
  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = jul,
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  url       = {https://www.aclweb.org/anthology/P18-1234},
  doi       = {10.18653/v1/P18-1234},
  pages     = {2514--2523}
}

@article{young2017,
  author        = {{Young}, Tom and {Hazarika}, Devamanyu and {Poria}, Soujanya and {Cambria}, Erik},
  title         = {{Recent Trends in Deep Learning Based Natural Language Processing}},
  journal       = {arXiv e-prints},
  keywords      = {Computer Science - Computation and Language},
  year          = 2017,
  month         = aug,
  eid           = {arXiv:1708.02709},
  pages         = {arXiv:1708.02709},
  archiveprefix = {arXiv},
  eprint        = {1708.02709},
  primaryclass  = {cs.CL},
  adsurl        = {https://ui.adsabs.harvard.edu/abs/2017arXiv170802709Y},
  adsnote       = {Provided by the SAO/NASA Astrophysics Data System}
}


@inproceedings{zhang2016,
  author    = {Zhang, Meishan and Zhang, Yue and Vo, Duy-Tin},
  title     = {Gated Neural Networks for Targeted Sentiment Analysis},
  url       = {http://dl.acm.org/citation.cfm?id=3016100.3016334},
  pages     = {3087--3093},
  publisher = {{AAAI Press}},
  series    = {AAAI'16},
  booktitle = {Proceedings of the Thirtieth AAAI Conference on Artificial
		  Intelligence},
  year      = {2016}
}

@article{zhang2018,
  author  = {Zhang, Lei and Wang, Shuai and Liu, Bing},
  year    = {2018},
  title   = {Deep learning for sentiment analysis: A survey},
  pages   = {e1253},
  volume  = {8},
  number  = {4},
  issn    = {1942-4787},
  journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge
		  Discovery},
  doi     = {10.1002/widm.1253}
}

@article{zheng2018,
  author        = {{Zheng}, Shiliang and {Xia}, Rui},
  title         = {{Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention}},
  journal       = {arXiv e-prints},
  keywords      = {Computer Science - Computation and Language},
  year          = 2018,
  month         = feb,
  eid           = {arXiv:1802.00892},
  pages         = {arXiv:1802.00892},
  archiveprefix = {arXiv},
  eprint        = {1802.00892},
  primaryclass  = {cs.CL},
  adsurl        = {https://ui.adsabs.harvard.edu/abs/2018arXiv180200892Z},
  adsnote       = {Provided by the SAO/NASA Astrophysics Data System}
}


@inproceedings{zhu2015,
  author    = {Zhu, Xiaodan and Sobihani, Parinaz and Guo, Hongyu},
  title     = {Long short-term memory over recursive structures},
  keywords  = {Tree Structured LSTM},
  pages     = {1604--1612},
  booktitle = {International Conference on Machine Learning},
  year      = {2015}
}

@article{navonil2020,
  author        = {{Majumder}, Navonil and {Bhardwaj}, Rishabh and {Poria}, Soujanya and {Zadeh}, Amir and {Gelbukh}, Alexander and {Hussain}, Amir and {Morency}, Louis-Philippe},
  title         = {{Improving Aspect-Level Sentiment Analysis with Aspect Extraction}},
  journal       = {arXiv e-prints},
  keywords      = {Computer Science - Computation and Language},
  year          = 2020,
  month         = may,
  eid           = {arXiv:2005.06607},
  pages         = {arXiv:2005.06607},
  archiveprefix = {arXiv},
  eprint        = {2005.06607},
  primaryclass  = {cs.CL},
  adsurl        = {https://ui.adsabs.harvard.edu/abs/2020arXiv200506607M},
  adsnote       = {Provided by the SAO/NASA Astrophysics Data System}
}