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Multiple-instance learning of real-valued data
Daniel R Dooly, Qi Zhang, Sally A Goldman, and Robert A Amar. 2002 · 2002
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Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In Proceedings of the 40th annual meeting on association for computational linguistics . Association for Computational Linguistics, 417–424
Peter D Turney. 2002 · 2002
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Opinion mining and sentiment analysis
Bo Pang, Lillian Lee, et al · 2008
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Sentiment Analysis of Blogs by Combining Lexical Knowledge with Text Classification. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Paris, France) (KDD ’09) . ACM, New York, NY, USA, 1275–1284
Prem Melville, Wojciech Gryc, and Richard D. Lawrence. 2009 · 2009
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Aspect-based sentiment analysis of movie reviews on discussion boards
Tun Thura Thet, Jin-Cheon Na, and Christopher S. G. Khoo. 2010 · 2010
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Transfer learning for multiple-domain sentiment analysis—identifying domain dependent/independent word polarity. In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence . AAAI Press, 1286–1291
Yasuhisa Yoshida, Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata, and Yuji Matsumoto. 2011 · 2011
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Sentiment analysis and summarization of twitter data. In 2013 IEEE 16th International Conference on Computational Science and Engineering . IEEE, 227–234
Seyed-Ali Bahrainian and Andreas Dengel. 2013 · 2013
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On peer review in computer science: analysis of its effectiveness and suggestions for improvement
Azzurra Ragone, Katsiaryna Mirylenka, Fabio Casati, and Maurizio Marchese. 2013 · 2013
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A Scalable, Lexicon Based Technique for Sentiment Analysis
Chetan Kaushik and Atul Mishra. 2014 · 2014
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The Arbitrariness of Reviews, and Advice for School Administrators
Langford and Guzdial. 2015 · 2015
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The global burden of journal peer review in the biomedical literature: Strong imbalance in the collective enterprise
Michail Kovanis, Raphaël Porcher, Philippe Ravaud, and Ludovic Trinquart. 2016 · 2016
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Anomalies in the peer-review system: A case study of the journal of High Energy Physics. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management . 2245–2250
Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, and Animesh Mukherjee. 2016 · 2016
Cited alongside, same era.
Gender bias in scholarly peer review
Markus Helmer, Manuel Schottdorf, Andreas Neef, and Demian Battaglia. 2017 · 2017
Cited alongside, same era.
Influence of reviewer interaction network on long-term citations: a case study of the scientific peer-review system of the journal of high energy physics. In 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL) . IEEE, 1–10
Universal Language Model Fine-tuning for Text Classification. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 328–339
Jeremy Howard and Sebastian Ruder. 2018 · 2018
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Aspect level sentiment classification with attention-over-attention neural networks. In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation . Springer, 197–206
Binxuan Huang, Yanglan Ou, and Kathleen M Carley. 2018 · 2018
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A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) . 1647–1661
Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard Hovy, and Roy Schwartz. 2018 · 2018
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A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) . 758–763
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Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, and Animesh Mukherjee. 2017 · 2017
Cited alongside, same era.
Reviewer bias in single- versus double-blind peer review
Andrew Tomkins, Min Zhang, and William D. Heavlin. 2017 · 2017
Cited alongside, same era.
Deep Recurrent neural network vs. support vector machine for aspect-based sentiment analysis of Arabic hotels'reviews
Mohammad Al-Smadi, Omar Qawasmeh, Mahmoud Al-Ayyoub, Yaser Jararweh, and Brij Gupta. 2018 · 2018
Cited alongside, same era.
Multiple instance learning networks for fine-grained sentiment analysis
Stefanos Angelidis and Mirella Lapata. 2018 · 2018
Cited alongside, same era.
Universal sentence encoder for English. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations . 169–174
Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, et al · 2018
Cited alongside, same era.
Zeyang Lei, Yujiu Yang, Min Yang, and Yi Liu. 2018 · 2018
Later among the works it cites.
Sentiment analysis of peer review texts for scholarly papers. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval . 175–184
Ke Wang and Xiaojun Wan. 2018 · 2018
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Investigating Capsule Networks with Dynamic Routing for Text Classification. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . 3110–3119
Min Yang, Wei Zhao, Jianbo Ye, Zeyang Lei, Zhou Zhao, and Soufei Zhang. 2018 · 2018
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SciBERT: A pretrained language model for scientific text. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . 3606–3611
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
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Does My Rebuttal Matter? Insights from a Major NLP Conference. In 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) . 1274–1290
Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych, and Yusuke Miyao. 2019 · 2019
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Targeted Sentiment Classification with Attentional Encoder Network
Youwei Song, Jiahai Wang, Tao Jiang, Zhiyue Liu, and Yanghui Rao. 2019 · 2019
Later among the works it cites.