| Semeval-2015 task 10: Sentiment analysis in twitter S Rosenthal, P Nakov, S Kiritchenko, S Mohammad, A Ritter, V Stoyanov Proceedings of the 9th international workshop on semantic evaluation …, 2015 | 1539* | 2015 |
| SemEval-2017 task 4: Sentiment analysis in Twitter S Rosenthal, N Farra, P Nakov Proceedings of the 11th international workshop on semantic evaluation …, 2017 | 1258 | 2017 |
| SemEval-2014 Task 9: Sentiment Analysis in Twitter S Rosenthal, A Ritter, P Nakov, V Stoyanov Proceedings of the 8th International Workshop on Semantic Evaluation …, 2014 | 1258* | 2014 |
| SemEval-2016 task 4: Sentiment analysis in Twitter P Nakov, A Ritter, S Rosenthal, F Sebastiani, V Stoyanov Proceedings of the 10th international workshop on semantic evaluation …, 2016 | 1244 | 2016 |
| 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 NAACL 2019, 2019 | 655 | 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 | 590 | 2019 |
| SemEval-2020 task 12: Multilingual offensive language identification in social media (OffensEval 2020) M Zampieri, P Nakov, S Rosenthal, P Atanasova, G Karadzhov, ... arXiv preprint arXiv:2006.07235, 2020 | 390 | 2020 |
| Age prediction in blogs: A study of style, content, and online behavior in pre-and post-social media generations S Rosenthal, K McKeown Proceedings of the 49th annual meeting of the association for computational …, 2011 | 239 | 2011 |
| SOLID: A large-scale semi-supervised dataset for offensive language identification S Rosenthal, P Atanasova, G Karadzhov, M Zampieri, P Nakov ACL Findings 2021 (arXiv preprint arXiv:2004.14454), 2020 | 137* | 2020 |
| 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, 35-65, 2016 | 107 | 2016 |
| I couldn’t agree more: The role of conversational structure in agreement and disagreement detection in online discussions S Rosenthal, K McKeown Proceedings of the 16th Annual Meeting of the Special Interest Group on …, 2015 | 80 | 2015 |
| Detecting opinionated claims in online discussions S Rosenthal, K McKeown 2012 IEEE sixth international conference on semantic computing, 30-37, 2012 | 63 | 2012 |
| Detecting influencers in written online conversations O Biran, S Rosenthal, J Andreas, K McKeown, O Rambow | 62 | 2012 |
| Time-efficient creation of an accurate sentence fusion corpus K McKeown, S Rosenthal, K Thadani, C Moore Human Language Technologies: The 2010 Annual Conference of the North …, 2010 | 46 | 2010 |
| Who, what, when, where, why? comparing multiple approaches to the cross-lingual 5w task K Parton, K McKeown, RE Coyne, MT Diab, R Grishman, D Hakkani-Tür, ... | 39 | 2009 |
| Corpus creation for new genres: A crowdsourced approach to PP attachment M Jha, J Andreas, K Thadani, S Rosenthal, K McKeown | 36 | 2010 |
| Detecting Influencers in Social Media Discussions S Rosenthal Columbia University, 2015 | 32 | 2015 |
| Annotating Agreement and Disagreement in Threaded Discussion. J Andreas, S Rosenthal, KR McKeown LREC, 818-822, 2012 | 31 | 2012 |
| Detecting influencers in multiple online genres S Rosenthal, K Mckeown ACM Transactions on Internet Technology (TOIT) 17 (2), 1-22, 2017 | 29 | 2017 |
| SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS) NXR Wang, D Mahajan, M Danilevsky, S Rosenthal arXiv preprint arXiv:2105.13995, 2021 | 28 | 2021 |
Preslav NakovMBZUAIVerified email at mbzuai.ac.ae
