Yangfeng Ji - Google Scholar Citations

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	All	Since 2015
Citations	1731	1689
h-index	17	16
i10-index	18	18

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Co-authors

Jacob EisensteinGeorgia Institute of TechnologyVerified email at gatech.edu
Chris BrockettPrincipal Data Scientist, Microsoft Research AIVerified email at microsoft.com
Margaret MitchellSenior Research Scientist, GoogleVerified email at google.com
Jian-Yun Nieuniversity of montrealVerified email at iro.umontreal.ca
Michel GalleyPrincipal Researcher at MicrosoftVerified email at acm.org
Alessandro SordoniMicrosoft ResearchVerified email at microsoft.com
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Chris DyerDeepMind, Carnegie MellonVerified email at google.com
Trevor CohnSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Kevin DuhJohns Hopkins UniversityVerified email at cs.jhu.edu
Graham NeubigAssistant Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Lingpeng KongGoogle DeepMindVerified email at google.com
Chris QuirkResearcher, Microsoft ResearchVerified email at microsoft.com
Hongbin ZhaPeking UniversityVerified email at cis.pku.edu.cn
Gholamreza (Reza) HaffariAssociate Professor, Faculty of Information Technology, Monash UniversityVerified email at monash.edu
Alan RitterOhio State UniversityVerified email at cs.cmu.edu
Chris Callison-BurchAssociate Professor, University of PennsylvaniaVerified email at upenn.edu
Wei Xu "Coco"The Ohio State UniversityVerified email at cse.ohio-state.edu
Mari OstendorfProfessor, Electrical Engineering, University of WashingtonVerified email at uw.edu
Hannaneh HajishirziAssistant Professor at University of Washington; Technical fellow at AI2Verified email at cs.washington.edu

Yangfeng Ji

Computer Science, University of Virginia

Verified email at virginia.edu - Homepage

Natural Language Processing Machine Learning


Title	Cited by	Year
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses A Sordoni, M Galley, M Auli, C Brockett, Y Ji, M Mitchell, JY Nie, J Gao, ... Proceedings of the 2015 Conference of the North American Chapter of the …, 2015	539	2015
Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017	239*	2017
Representation Learning for Text-level Discourse Parsing Y Ji, J Eisenstein Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014	130	2014
Discriminative Improvements to Distributional Sentence Similarity Y Ji, J Eisenstein Proceedings of the Conference on Empirical Methods in Natural Language …, 2013	114	2013
deltaBLEU: A discriminative metric for generation tasks with intrinsically diverse targets M Galley, C Brockett, A Sordoni, Y Ji, M Auli, C Quirk, M Mitchell, J Gao, ... arXiv preprint arXiv:1506.06863, 2015	93	2015
Better Document-level Sentiment Analysis from RST Discourse Parsing P Bhatia, Y Ji, J Eisenstein EMNLP, 2015	89	2015
One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations Y Ji, J Eisenstein Transactions of the Association for Computational Linguistics 3, 329--344, 2015	79	2015
A latent variable recurrent neural network for discourse relation language models Y Ji, G Haffari, J Eisenstein arXiv preprint arXiv:1603.01913, 2016	75	2016
Extracting Lexically Divergent Paraphrases from Twitter W Xu, A Ritter, C Callison-Burch, WB Dolan, Y Ji Transactions of the Association for Computational Linguistics 2, 435−448, 2014	71	2014
Document context language models Y Ji, T Cohn, L Kong, C Dyer, J Eisenstein arXiv preprint arXiv:1511.03962, 2015	49*	2015
Neural discourse structure for text categorization Y Ji, N Smith arXiv preprint arXiv:1702.01829, 2017	42	2017
Dynamic entity representations in neural language models Y Ji, C Tan, S Martschat, Y Choi, NA Smith arXiv preprint arXiv:1708.00781, 2017	41	2017
Mahalanobis distance based non-negative sparse representation for face recognition Y Ji, T Lin, H Zha 2009 International Conference on Machine Learning and Applications, 41-46, 2009	37	2009
LSTM based conversation models Y Luan, Y Ji, M Ostendorf arXiv preprint arXiv:1603.09457, 2016	31	2016
Neural text generation in stories using entity representations as context E Clark, Y Ji, NA Smith Proceedings of the 2018 Conference of the North American Chapter of the …, 2018	30	2018
Creative writing with a machine in the loop: Case studies on slogans and stories E Clark, AS Ross, C Tan, Y Ji, NA Smith 23rd International Conference on Intelligent User Interfaces, 329-340, 2018	24	2018
Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations Y Ji, G Zhang, J Eisenstein Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015	19	2015
Multiplicative representations for unsupervised semantic role induction Y Luan, Y Ji, H Hajishirzi, B Li Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	11	2016
Techniques for inferring the unknown intents of linguistic items D Hakkani-Tür, FA Celikyilmaz, LP Heck, G Tur, Y Ji US Patent 9,870,356, 2018	6	2018
Mining Themes and Interests in the Asperger’s and Autism Community Y Ji, H Hong, R Arriaga, A Rozga, G Abowd, J Eisenstein Proceedings of ACL Workshop on Computational Linguistics and Clinical Psychology, 2014	5	2014

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