| “Look, some green circles!”: Learning to quantify from images I Sorodoc, A Lazaridou, G Boleda, A Herbelot, S Pezzelle, R Bernardi Proceedings of the 5th Workshop on Vision and Language, 75-79, 2016 | 16 | 2016 |
| Comparatives, quantifiers, proportions: a multi-task model for the learning of quantities from vision S Pezzelle, IT Sorodoc, R Bernardi arXiv preprint arXiv:1804.05018, 2018 | 9 | 2018 |
| Learning quantification from images: A structured neural architecture I Sorodoc, S Pezzelle, A Herbelot, M Dimiccoli, R Bernardi Natural Language Engineering 24 (3), 363, 2018 | 8 | 2018 |
| Aggregation methods for efficient collocation detection. A Dinu, LP Dinu, I Sorodoc LREC, 4041-4045, 2014 | 8 | 2014 |
| Multimodal topic labelling I Sorodoc, JH Lau, N Aletras, T Baldwin Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 5 | 2017 |
| AMORE-UPF at SemEval-2018 Task 4: BiLSTM with Entity Library L Aina, C Silberer, IT Sorodoc, M Westera, G Boleda arXiv preprint arXiv:1805.05370, 2018 | 4 | 2018 |
| Probing for Referential Information in Language Models I Sorodoc, K Gulordava, G Boleda Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 3 | 2020 |
| What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue L Aina, C Silberer, M Westera, IT Sorodoc, G Boleda arXiv preprint arXiv:1905.06649, 2019 | 3 | 2019 |
| Class-Agnostic Continual Learning of Alternating Languages and Domains G Kruszewski, IT Sorodoc, T Mikolov arXiv preprint arXiv:2004.03340, 2020 | | 2020 |
| Recurrent Instance Segmentation using Sequences of Referring Expressions A Herrera-Palacio, C Ventura, C Silberer, IT Sorodoc, G Boleda, ... arXiv preprint arXiv:1911.02103, 2019 | | 2019 |
| Task-agnostic Continual Learning via Growing Long-Term Memory Networks G Kruszewski, IT Sorodoc, T Mikolov | | 2019 |
| What do entity-centric models learn? Insights from entity linking in multi-party dialogue G Boleda, L Aina, C Silberer, IT Sorodoc, M Westera Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | | 2019 |
| Comparatives, quantifiers, proportions: a multi-task model for the learning of quantities from vision IT Sorodoc, S Pezzelle, R Bernardi Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | | 2018 |
| AMORE-UPF at SemEval-2018 Task 4: BiLSTM with entity library G Boleda, L Aina, C Silberer, IT Sorodoc, M Westera Proceedings of the 12th International Workshop on Semantic Evaluation …, 2018 | | 2018 |
| Pay attention to those sets! Learning quantification from images I Sorodoc, S Pezzelle, A Herbelot, M Dimiccoli, R Bernardi arXiv preprint arXiv:1704.02923, 2017 | | 2017 |
| Imparare a Quantificare Guardando (Learning to Quantify by Watching). S Pezzelle, I Sorodoc, A Herbelot, R Bernardi CLiC-it/EVALITA, 2016 | | 2016 |
| “Look, some green circles!”: learning to quantify from images G Boleda, IT Sorodoc, A Lazaridou, A Herbelot, S Pezzelle, R Bernardi Proceedings of the 5th Workshop on Vision and Language (ACL 2016). Berlin …, 2016 | | 2016 |
| Imparare a quantificare guardando S Pezzelle, I Sorodoc, A Herbelot, R Bernardi | | |
