Preslav Nakov

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Giovanni Da San MartinoAssociate Professor, Department of Mathematics, University of Padova, ItalyVerified email at math.unipd.it
Alberto Barrón-CedeñoUniversità di BolognaVerified email at unibo.it
Lluís MàrquezPrincipal Applied ScientistVerified email at amazon.com
Ivan KoychevSofia University "St. Kliment Ohridski"Verified email at fmi.uni-sofia.bg
Firoj Alam, PhDScientist, QCRIVerified email at alumni.unitn.it
Marcos ZampieriGeorge Mason UniversityVerified email at gmu.edu
Georgi KaradzhovUniversity of CambridgeVerified email at cam.ac.uk
Shaden ShaarPhD Student, Cornell UniversityVerified email at cornell.edu
Sara RosenthalIBM ResearchVerified email at cs.columbia.edu
Marti A HearstProfessor, University of California, BerkeleyVerified email at berkeley.edu
Momchil HardalovAmazon, AWS BedrockVerified email at amazon.com
Maram HasanainPostdoc, Qatar Computing Research Institute, HBKUVerified email at hbku.edu.qa
Tamer ElsayedAssociate Professor, Qatar UniversityVerified email at qu.edu.qa
Pepa AtanasovaPostdoc, University of CopenhagenVerified email at di.ku.dk
Jörg TiedemannProfessor of Language Technology, University of HelsinkiVerified email at helsinki.fi
Hamdy MubarakPrincipal Software Engineer, Qatar Computing Research Institute (QCRI), Qatar FoundationVerified email at hbku.edu.qa
James GlassMIT Computer Science and Artificial Intelligence LaboratoryVerified email at mit.edu
Alessandro MoschittiPrincipal Scientist at Amazon AlexaVerified email at amazon.com
Stanislaw SzpakowiczEmeritus Professor of Computer Science, University of OttawaVerified email at eecs.uottawa.ca
Shafiq JotyResearch Director at Salesforce Research, Assoc. Prof. at NTU (on leave)Verified email at ntu.edu.sg

Preslav Nakov

MBZUAI

Verified email at mbzuai.ac.ae - Homepage

Computational Linguistics NLP Large Language Models Fact-checking Fake News


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
SemEval-2015 task 4: Sentiment analysis in Twitter S Rosenthal, N Farra, P Nakov SemEval-2015, 2019	1778	2019
SemEval-2016 task 4: Sentiment analysis in Twitter P Nakov, A Ritter, S Rosenthal, F Sebastiani, V Stoyanov SemEval-2016, 2016	1327	2016
Semeval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals I Hendrickx, SN Kim, Z Kozareva, P Nakov, DO Séaghdha, S Padó, ... SemEval-2010, 2010	1170*	2010
SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval) M Zampieri, S Malmasi, P Nakov, S Rosenthal, N Farra, R Kumar SemEval-2019, 2019	847	2019
Predicting the Type and Target of Offensive Posts in Social Media M Zampieri, S Malmasi, P Nakov, S Rosenthal, N Farra, R Kumar NAACL-2019, 2019	816	2019
Overview of BioCreative II gene mention recognition L Smith, LK Tanabe, RJ nee Ando, CJ Kuo, IF Chung, CN Hsu, YS Lin, ... Genome biology 9 (2), 1, 2008	529	2008
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020) M Zampieri, P Nakov, S Rosenthal, P Atanasova, G Karadzhov, ... SemEval-2020, 2020	510	2020
SemEval-2017 Task 3: Community Question Answering P Nakov, D Hoogeveen, L Màrquez, A Moschitti, H Mubarak, T Baldwin, ... SemEval-2017, 27-48, 2017	365	2017
Fine-Grained Analysis of Propaganda in News Articles G Da San Martino, S Yu, A Barrón-Cedeño, R Petrov, P Nakov EMNLP-2019, 2019	333	2019
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation VH Nguyen, K Sugiyama, P Nakov, MY Kan CIKM-2020 (Best Long Paper award), 2020	294	2020
Predicting Factuality of Reporting and Bias of News Media Sources R Baly, G Karadzhov, D Alexandrov, J Glass, P Nakov EMNLP-2018, 2018	289	2018
Semeval-2007 task 04: Classification of semantic relations between nominals R Girju, P Nakov, V Nastase, S Szpakowicz, P Turney, D Yuret Proceedings of the Fourth International Workshop on Semantic Evaluations …, 2007	248	2007
Citances: Citation sentences for semantic analysis of bioscience text PI Nakov, AS Schwartz, M Hearst Proceedings of the SIGIR 4, 81-88, 2004	213	2004
A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines K Georgiev, P Nakov International Conference on Machine Learning (ICML'13), 2013	208	2013
Discriminating between similar languages and Arabic dialect identification: A report on the third DSL shared task S Malmasi, M Zampieri, N Ljubešić, P Nakov, A Ali, J Tiedemann Proceedings of the third workshop on NLP for similar languages, varieties …, 2016	206	2016
Automated Fact-Checking for Assisting Human Fact-Checkers P Nakov, D Corney, M Hasanain, F Alam, T Elsayed, A Barrón-Cedeño, ... IJCAI-2021, 2021	199	2021
Proppy: Organizing News Coverage on the Basis of Their Propagandistic Content A Barron-Cedeno, G Da San Martino, I Jaradat, P Nakov Information Processing and Management (IPM journal), 2019	191*	2019
SOLID: A large-scale semi-supervised dataset for offensive language identification S Rosenthal, P Atanasova, G Karadzhov, M Zampieri, P Nakov Findings of ACL-2021, 2021	189*	2021
BioText Search Engine: beyond abstract search MA Hearst, A Divoli, H Guturu, A Ksikes, P Nakov, MA Wooldridge, J Ye Bioinformatics 23 (16), 2196-2197, 2007	189	2007
SemEval-2020 task 11: Detection of propaganda techniques in news articles G Da San Martino, A Barrón-Cedeno, H Wachsmuth, R Petrov, P Nakov SemEval-2020 (Best Task Paper Award, honorable mention), 2020	187*	2020

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