Francesco Barbieri
Francesco Barbieri
Staff Research Scientist, Snap Inc.
Verified email at
Cited by
Cited by
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
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
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
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
Modelling sarcasm in twitter, a novel approach
F Barbieri, H Saggion, F Ronzano
proceedings of the 5th workshop on computational approaches to subjectivity …, 2014
TimeLMs: Diachronic language models from Twitter
D Loureiro, F Barbieri, L Neves, LE Anke, J Camacho-Collados
arXiv preprint arXiv:2202.03829, 2022
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
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
Are emojis predictable?
F Barbieri, M Ballesteros, H Saggion
Proceedings of the 2017 European Chapter of the Association for …, 2017
Modelling irony in twitter
F Barbieri, H Saggion
Proceedings of the Student Research Workshop at the 14th Conference of the …, 2014
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
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
Automatic Detection of Irony and Humour in Twitter.
F Barbieri, H Saggion
ICCC, 155-162, 2014
Multimodal emoji prediction
F Barbieri, M Ballesteros, F Ronzano, H Saggion
Proceedings of 2021 Annual Conference of the North American Chapter of the …, 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
Italian irony detection in twitter: a first approach
F Barbieri, F Ronzano, H Saggion
Proceedings of the First Italian Conference on Computational Linguistics …, 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
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
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
Twitter topic classification
D Antypas, A Ushio, J Camacho-Collados, L Neves, V Silva, F Barbieri
arXiv preprint arXiv:2209.09824, 2022
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