| TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification F Barbieri, J Camacho-Collados, L Neves, L Espinosa-Anke Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 751 | 2020 |
| XLM-T: Multilingual language models in Twitter for sentiment analysis and beyond F Barbieri, LE Anke, J Camacho-Collados arXiv preprint arXiv:2104.12250, 2021 | 300* | 2021 |
| TimeLMs: Diachronic language models from Twitter D Loureiro, F Barbieri, L Neves, LE Anke, J Camacho-Collados arXiv preprint arXiv:2202.03829, 2022 | 244 | 2022 |
| How cosmopolitan are emojis? Exploring emojis usage and meaning over different languages with distributional semantics F Barbieri, G Kruszewski, F Ronzano, H Saggion Proceedings of the 24th ACM international conference on Multimedia, 531-535, 2016 | 234 | 2016 |
| What does this emoji mean? a vector space skip-gram model for twitter emojis F Barbieri, F Ronzano, H Saggion Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 234 | 2016 |
| Modelling sarcasm in twitter, a novel approach F Barbieri, H Saggion, F Ronzano proceedings of the 5th workshop on computational approaches to subjectivity …, 2014 | 209 | 2014 |
| Multi-label music genre classification from audio, text, and images using deep features S Oramas, O Nieto, F Barbieri, X Serra arXiv preprint arXiv:1707.04916, 2017 | 173 | 2017 |
| Multimodal deep learning for music genre classification S Oramas, F Barbieri, O Nieto Caballero, X Serra Transactions of the International Society for Music Information Retrieval …, 2018 | 165 | 2018 |
| Are emojis predictable? F Barbieri, M Ballesteros, H Saggion Proceedings of the 2017 European Chapter of the Association for …, 2017 | 162 | 2017 |
| Semeval 2018 task 2: Multilingual emoji prediction F Barbieri, J Camacho-Collados, F Ronzano, LE Anke, M Ballesteros, ... Proceedings of the 12th international workshop on semantic evaluation, 24-33, 2018 | 158 | 2018 |
| Modelling irony in twitter F Barbieri, H Saggion Proceedings of the Student Research Workshop at the 14th Conference of the …, 2014 | 156 | 2014 |
| Overview of the evalita 2016 sentiment polarity classification task F Barbieri, V Basile, D Croce, M Nissim, N Novielli, V Patti CEUR Workshop Proceedings 1749, 2016 | 149 | 2016 |
| Automatic Detection of Irony and Humour in Twitter. F Barbieri, H Saggion ICCC, 155-162, 2014 | 101 | 2014 |
| TweetNLP: Cutting-edge natural language processing for social media J Camacho-Collados, K Rezaee, T Riahi, A Ushio, D Loureiro, D Antypas, ... arXiv preprint arXiv:2206.14774, 2022 | 95 | 2022 |
| Multimodal emoji prediction F Barbieri, M Ballesteros, F Ronzano, H Saggion Proceedings of 2021 Annual Conference of the North American Chapter of the …, 2018 | 75 | 2018 |
| Efficiently mitigating classification bias via transfer learning X Jin, F Barbieri, AM Davani, B Kennedy, L Neves, X Ren Proceedings of 2021 Annual Conference of the North American Chapter of the …, 2020 | 72* | 2020 |
| Italian irony detection in twitter: a first approach F Barbieri, F Ronzano, H Saggion Proceedings of the First Italian Conference on Computational Linguistics …, 2014 | 66 | 2014 |
| Interpretable emoji prediction via label-wise attention LSTMs F Barbieri, LE Anke, J Camacho-Collados, S Schockaert, H Saggion Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 53 | 2018 |
| Revealing patterns of Twitter emoji usage in Barcelona and Madrid F Barbieri, L Espinosa-Anke, H Saggion Artificial intelligence research and development, 239-244, 2016 | 52 | 2016 |
| Twitter topic classification D Antypas, A Ushio, J Camacho-Collados, L Neves, V Silva, F Barbieri arXiv preprint arXiv:2209.09824, 2022 | 50 | 2022 |
Horacio SaggionChair in Computer Science & Artificial Intelligence, Universitat Pompeu Fabra, DTIC在 upf.edu 的电子邮件经过验证
