Fei Liu

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Yang LiuAmazonVerified email at hlt.utdallas.edu
Logan LebanoffSoar Technology, Inc.Verified email at knights.ucf.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Rohan RamanathCarnegie Mellon UniversityVerified email at cs.cmu.edu
Kaiqiang Song (宋凯强）Senior Research Scientist @ Tencent AI Lab, SeattleVerified email at tencent.com
Shomir WilsonAssistant Professor, Pennsylvania State UniversityVerified email at psu.edu
Florian SchaubUniversity of MichiganVerified email at umich.edu
Franck DernoncourtNLP/ML Researcher. MIT PhD.Verified email at adobe.com
Travis BreauxAssociate Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Joel R. ReidenbergStanley D. and Nikki Waxberg Chair in Law, Fordham UniversityVerified email at law.fordham.edu
Lorrie Faith CranorFORE Systems Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Lin ZhaoBosch ResearchVerified email at us.bosch.com
Dong Yu (俞栋)Distinguished Scientist @ Tencent AI Lab, ACM/IEEE/ISCA FellowVerified email at global.tencent.com
Zhe FengBosch Research & Technology Center, North AmericaVerified email at us.bosch.com
Kristjan ArumaeApplied Scientist, QualtricsVerified email at qualtrics.com
Maxime PeyrardEPFLVerified email at epfl.ch
Yang GaoGoogle ResearchVerified email at google.com
Steffen EgerStand-in Professor, Bielefeld UniversityVerified email at uni-bielefeld.de
Wei ZhaoHeidelberg Institute for Theoretical Studies, Heidelberg UniversityVerified email at mathi.uni-heidelberg.de
Christian M. Meyerformerly UKP Lab, Technische Universität DarmstadtVerified email at chmeyer.de

Fei Liu

Emory University

Verified email at emory.edu - Homepage

Natural Language Processing Deep Learning Summarization Natural Language Generation


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MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance W Zhao, M Peyrard, F Liu, Y Gao, CM Meyer, S Eger EMNLP 2019, 2019	319	2019
Disagreeable Privacy Policies: Mismatches between Meaning and Users’ Understanding JR Reidenberg, T Breaux, LF Cranor, B French, A Grannis, JT Graves, ...	313	2014
Toward abstractive summarization using semantic representations F Liu, J Flanigan, S Thomson, N Sadeh, NA Smith Proceedings of the 2015 Conference of the North American Chapter of the …, 2015	303	2015
Unsupervised approaches for automatic keyword extraction using meeting transcripts F Liu, D Pennell, F Liu, Y Liu Proceedings of Human Language Technologies: The 2009 Annual Conference of …, 2009	263	2009
A Broad-Coverage Normalization System for Social Media Language F Liu, F Weng, X Jiang Proceedings of ACL, 1035-1044, 2012	196	2012
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization L Lebanoff, K Song, F Liu Proceedings of EMNLP, 2018	152	2018
Insertion, deletion, or substitution? Normalizing text messages without pre-categorization nor supervision F Liu, F Weng, B Wang, Y Liu Proc. of ACL-HLT, 2011	143	2011
The usable privacy policy project N Sadeh, A Acquisti, TD Breaux, LF Cranor, AM McDonald, ... Technical report, Technical Report, CMU-ISR-13-119, Carnegie Mellon University, 2013	110	2013
Crowdsourcing Annotations for Websites' Privacy Policies: Can It Really Work? S Wilson, F Schaub, R Ramanath, N Sadeh, F Liu, NA Smith, F Liu Proceedings of the 25th International Conference on World Wide Web, 133-143, 2016	106	2016
Broad-coverage normalization system for social media language F Liu, F Weng US Patent 9,164,983, 2015	103	2015
Abstract Meaning Representation for Multi-Document Summarization K Liao, L Lebanoff, F Liu Proceedings of COLING, 2018	96	2018
Scoring Sentence Singletons and Pairs for Abstractive Summarization L Lebanoff, K Song, F Dernoncourt, DS Kim, S Kim, W Chang, F Liu ACL 2019, 2019	88	2019
Document Summarization via Guided Sentence Compression. C Li, F Liu, F Weng, Y Liu EMNLP, 490-500, 2013	86	2013
Why is “SXSW” trending? Exploring Multiple Text Sources for Twitter Topic Summarization F Liu, Y Liu, F Weng ACL HLT 2011, 66, 2011	80	2011
A Participant-based Approach for Event Summarization Using Twitter Streams C Shen, F Liu, F Weng, T Li Proceedings of NAACL, 2013	79	2013
A supervised framework for keyword extraction from meeting transcripts F Liu, F Liu, Y Liu IEEE Transactions on Audio, Speech, and Language Processing 19 (3), 538-548, 2011	75	2011
Structure-Infused Copy Mechanisms for Abstractive Summarization K Song, L Zhao, F Liu Proceedings of COLING, 2018	74	2018
From extractive to abstractive meeting summaries: Can it be done by sentence compression? F Liu, Y Liu Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, 261-264, 2009	73	2009
Self-Attention Network for Skeleton-based Human Action Recognition S Cho, M Maqbool, F Liu, H Foroosh WACV 2020, 2020	72	2020
Unsupervised Alignment of Privacy Policies using Hidden Markov Models R Ramanath, F Liu, N Sadeh, NA Smith Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014	65	2014

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