Xiaodan Zhu

Cited by

	All	Since 2016
Citations	5896	4910
h-index	31	27
i10-index	50	44

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2008200920102011201220132014201520162017201820192020202131 31 45 56 72 82 167 413 592 792 966 1237 1287 30

Co-authors

Zhen-Hua LingUniversity of Science and Technology of ChinaVerified email at ustc.edu
Svetlana KiritchenkoNational Research Council CanadaVerified email at nrc-cnrc.gc.ca
Saif M. MohammadSenior Research Scientist, National Research Council CanadaVerified email at nrc-cnrc.gc.ca
Hui JiangProfessor of Electrical Engineering and Computer Science, York UniversityVerified email at cse.yorku.ca
Colin CherryGoogle ResearchVerified email at google.com
Qian Chen (陈谦)DAMO Academy, Alibaba GroupVerified email at alibaba-inc.com
Gerald PennProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Parinaz SobhaniVerified email at uottawa.ca
Diana InkpenUniversity of Ottawa (Computer Science)Verified email at site.uottawa.ca
Joel MartinNational Research CouncilVerified email at nrc-cnrc.gc.ca
Hongyu GuoSenior Research Officer, National Research Council CanadaVerified email at nrc-cnrc.gc.ca
Graeme HirstProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Yu-Ping RuanUniversity of Science and Technology of ChinaVerified email at mail.ustc.edu.cn
Andre VellinoProfessor of Information Studies, University of OttawaVerified email at uottawa.ca
Daniel LemireProfessor of Computer Science, Université du Québec (TELUQ)Verified email at uqam.ca
Peter TurneyRonin InstituteVerified email at ronininstitute.org
Cosmin MunteanuInstitute of Communication, Culture, Information and Technology, University of Toronto MississaugaVerified email at taglab.ca
Preslav NakovPrincipal Scientist, Qatar Computing Research Institute (QCRI), HBKUVerified email at hbku.edu.qa
Alan RitterGeorgia Institute of TechnologyVerified email at cs.cmu.edu
Yifeng LiDepartment of Computer Science, Brock UniversityVerified email at brocku.ca

Xiaodan Zhu

ECE & Ingenuity Labs Research Institute, Queen's University, Canada

Verified email at queensu.ca - Homepage

Natural language processing machine learning artificial intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
NRC-Canada: Building the state-of-the-art in sentiment analysis of tweets SM Mohammad, S Kiritchenko, X Zhu arXiv preprint arXiv:1308.6242, 2013	986	2013
Sentiment analysis of short informal texts S Kiritchenko, X Zhu, SM Mohammad Journal of Artificial Intelligence Research 50, 723-762, 2014	738	2014
Enhanced lstm for natural language inference Q Chen, X Zhu, Z Ling, S Wei, H Jiang, D Inkpen arXiv preprint arXiv:1609.06038, 2016	600	2016
NRC-Canada-2014: Detecting aspects and sentiment in customer reviews S Kiritchenko, X Zhu, C Cherry, S Mohammad Proceedings of the 8th international workshop on semantic evaluation …, 2014	422	2014
Semeval-2016 task 6: Detecting stance in tweets S Mohammad, S Kiritchenko, P Sobhani, X Zhu, C Cherry Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016	402	2016
Long short-term memory over recursive structures X Zhu, P Sobihani, H Guo International Conference on Machine Learning, 1604-1612, 2015	255	2015
Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010 B De Bruijn, C Cherry, S Kiritchenko, J Martin, X Zhu Journal of the American Medical Informatics Association 18 (5), 557-562, 2011	238	2011
Sentiment, emotion, purpose, and style in electoral tweets SM Mohammad, X Zhu, S Kiritchenko, J Martin Information Processing & Management 51 (4), 480-499, 2015	182	2015
Measuring academic influence: Not all citations are equal X Zhu, P Turney, D Lemire, A Vellino Journal of the Association for Information Science and Technology 66 (2 …, 2015	155	2015
Natural language inference with external knowledge Q Chen, X Zhu, ZH Ling, D Inkpen	149*	2018
Nrc-canada-2014: Recent improvements in the sentiment analysis of tweets X Zhu, S Kiritchenko, S Mohammad Proceedings of the 8th international workshop on semantic evaluation …, 2014	117	2014
Distraction-based neural networks for document summarization Q Chen, X Zhu, Z Ling, S Wei, H Jiang arXiv preprint arXiv:1610.08462, 2016	112*	2016
Analysis of polarity information in medical text Y Niu, X Zhu, J Li, G Hirst AMIA annual symposium proceedings 2005, 570, 2005	97	2005
Enhancing and combining sequential and tree lstm for natural language inference Q Chen, X Zhu, Z Ling, S Wei, H Jiang arXiv preprint arXiv:1609.06038, 2016	88	2016
Recurrent neural network-based sentence encoder with gated attention for natural language inference Q Chen, X Zhu, ZH Ling, S Wei, H Jiang, D Inkpen arXiv preprint arXiv:1708.01353, 2017	81	2017
Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts P Nakov, S Rosenthal, S Kiritchenko, SM Mohammad, Z Kozareva, ... Language Resources and Evaluation 50 (1), 35-65, 2016	80	2016
A critical reassessment of evaluation baselines for speech summarization G Penn, X Zhu Proceedings of ACL-08: HLT, 470-478, 2008	79	2008
An empirical study on the effect of negation words on sentiment X Zhu, H Guo, S Mohammad, S Kiritchenko Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014	68	2014
Summarization of spontaneous conversations X Zhu, G Penn Ninth International Conference on Spoken Language Processing, 2006	66	2006
Using outcome polarity in sentence extraction for medical question-answering Y Niu, X Zhu, G Hirst AMIA Annual Symposium Proceedings 2006, 599, 2006	52	2006

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