| Semeval-2014 task 1: Evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment M Marelli, L Bentivogli, M Baroni, R Bernardi, S Menini, R Zamparelli Proceedings of the 8th international workshop on semantic evaluation …, 2014 | 1415 | 2014 |
| A multilingual evaluation for online hate speech detection M Corazza, S Menini, E Cabrio, S Tonelli, S Villata ACM Transactions on Internet Technology (TOIT) 20 (2), 1-22, 2020 | 193 | 2020 |
| Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement E Leonardelli, S Menini, AP Aprosio, M Guerini, S Tonelli Conference on Empirical Methods in Natural Language Processing, 2021 | 103 | 2021 |
| An AI-based system for formative and summative assessment in data science courses P Vittorini, S Menini, S Tonelli International Journal of Artificial Intelligence in Education 31 (2), 159-185, 2021 | 86 | 2021 |
| Creating a whatsapp dataset to study pre-teen cyberbullying R Sprugnoli, S Menini, S Tonelli, F Oncini, E Piras Proceedings of the 2nd workshop on abusive language online (ALW2), 51-59, 2018 | 76 | 2018 |
| Evalita 2023: Overview of the 8th evaluation campaign of natural language processing and speech tools for italian M Lai¹, S Menini, M Polignano, V Russo, R Sprugnoli | 71 | 2023 |
| SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual … L Bentivogli, R Bernardi, M Marelli, S Menini, M Baroni, R Zamparelli Language Resources and Evaluation 50, 95-124, 2016 | 65 | 2016 |
| Never retreat, never retract: Argumentation analysis for political speeches S Menini, E Cabrio, S Tonelli, S Villata Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 62 | 2018 |
| Agreement and disagreement: Comparison of points of view in the political domain S Menini, S Tonelli Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 53 | 2016 |
| ALCIDE: Extracting and visualising content from large document collections to support humanities studies G Moretti, R Sprugnoli, S Menini, S Tonelli Knowledge-Based Systems 111, 100-112, 2016 | 50 | 2016 |
| The SICK (Sentences Involving Compositional Knowledge) dataset for relatedness and entailment | 47* | 2014 |
| A system to monitor cyberbullying based on message classification and social network analysis S Menini, G Moretti, M Corazza, E Cabrio, S Tonelli, S Villata Proceedings of the third workshop on abusive language online, 105-110, 2019 | 44 | 2019 |
| Topic-based agreement and disagreement in US electoral manifestos S Menini, F Nanni, SP Ponzetto, S Tonelli Association for Computational Linguistics, 2017 | 44 | 2017 |
| Abuse is contextual, what about nlp? the role of context in abusive language annotation and detection S Menini, AP Aprosio, S Tonelli arXiv preprint arXiv:2103.14916, 2021 | 39 | 2021 |
| Comparing different supervised approaches to hate speech detection M Corazza, S Menini, P Arslan, R Sprugnoli, E Cabrio, S Tonelli, S Villata EVALITA 2018, 2018 | 37 | 2018 |
| Cross-platform evaluation for italian hate speech detection M Corazza, S Menini, E Cabrio, S Tonelli, S Villata CLiC-it 2019-6th Annual Conference of the Italian Association for …, 2019 | 29 | 2019 |
| RAMBLE ON: Tracing movements of popular historical figures S Menini, R Sprugnoli, G Moretti, E Bignotti, S Tonelli, B Lepri Proceedings of the Software Demonstrations of the 15th Conference of the …, 2017 | 27 | 2017 |
| A multilingual benchmark to capture olfactory situations over time S Menini, T Paccosi, S Tonelli, M Van Erp, I Leemans, P Lisena, R Troncy, ... Proceedings of the 3rd workshop on computational approaches to historical …, 2022 | 19 | 2022 |
| Hybrid emoji-based masked language models for zero-shot abusive language detection M Corazza, S Menini, E Cabrio, S Tonelli, S Villata Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 19 | 2020 |
| Inriafbk at germeval 2018: Identifying offensive tweets using recurrent neural networks M Corazza, S Menini, P Arslan, R Sprugnoli, E Cabrio, S Tonelli, S Villata Proceedings of the GermEval 2018 Workshop, 80-84, 2018 | 17 | 2018 |
Sara TonelliHead of Research Unit, Fondazione Bruno KesslerPatvirtintas el. paštas fbk.eu