| SemEval-2015 task 4: Sentiment analysis in Twitter S Rosenthal, N Farra, P Nakov SemEval-2015, 2019 | 1853 | 2019 |
| SemEval-2016 task 4: Sentiment analysis in Twitter P Nakov, A Ritter, S Rosenthal, F Sebastiani, V Stoyanov SemEval-2016, 2016 | 1368 | 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 | 1229* | 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 | 908 | 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 | 876 | 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 | 553 | 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 | 539 | 2020 |
| Fine-Grained Analysis of Propaganda in News Articles G Da San Martino, S Yu, A Barrón-Cedeño, R Petrov, P Nakov EMNLP-2019, 2019 | 396 | 2019 |
| SemEval-2017 Task 3: Community Question Answering P Nakov, D Hoogeveen, L Màrquez, A Moschitti, H Mubarak, T Baldwin, ... SemEval-2017, 27-48, 2017 | 369 | 2017 |
| 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 | 335 | 2020 |
| Predicting Factuality of Reporting and Bias of News Media Sources R Baly, G Karadzhov, D Alexandrov, J Glass, P Nakov EMNLP-2018, 2018 | 306 | 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 | 251 | 2007 |
| Automated Fact-Checking for Assisting Human Fact-Checkers P Nakov, D Corney, M Hasanain, F Alam, T Elsayed, A Barrón-Cedeño, ... IJCAI-2021, 2021 | 241 | 2021 |
| 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 | 227* | 2020 |
| Citances: Citation sentences for semantic analysis of bioscience text PI Nakov, AS Schwartz, M Hearst Proceedings of the SIGIR 4, 81-88, 2004 | 216 | 2004 |
| 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 | 213* | 2019 |
| 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 | 213 | 2016 |
| A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines K Georgiev, P Nakov International Conference on Machine Learning (ICML'13), 2013 | 211 | 2013 |
| A Survey on Computational Propaganda Detection G Da San Martino, S Cresci, A Barrón-Cedeño, S Yu, R Di Pietro, P Nakov IJCAI-PRICAI-2020, 2020 | 206* | 2020 |
| Unsupervised User Stance Detection on Twitter K Darwish, M Aupetit, P Stefanov, P Nakov ICWSM-2020, 2020 | 205 | 2020 |
Giovanni Da San MartinoAssociate Professor, Department of Mathematics, University of Padova, Italymath.unipd.it의 이메일 확인됨