| A deep architecture for content-based recommendations exploiting recurrent neural networks A Suglia, C Greco, C Musto, M De Gemmis, P Lops, G Semeraro Proceedings of the 25th conference on user modeling, adaptation and …, 2017 | 69 | 2017 |
| Psycholinguistics meets continual learning: Measuring catastrophic forgetting in visual question answering C Greco, B Plank, R Fernández, R Bernardi arXiv preprint arXiv:1906.04229, 2019 | 48 | 2019 |
| Converse-et-impera: Exploiting deep learning and hierarchical reinforcement learning for conversational recommender systems C Greco, A Suglia, P Basile, G Semeraro AI* IA 2017 Advances in Artificial Intelligence: XVIth International …, 2017 | 44 | 2017 |
| Grounded textual entailment HT Vu, C Greco, A Erofeeva, S Jafaritazehjan, G Linders, M Tanti, ... COLING 2018, 2018 | 38 | 2018 |
| Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks. C Musto, C Greco, A Suglia, G Semeraro IIR, 2016 | 24 | 2016 |
| Be different to be better! A benchmark to leverage the complementarity of language and vision S Pezzelle, C Greco, G Gandolfi, E Gualdoni, R Bernardi Findings of the association for computational linguistics: EMNLP 2020, 2751-2767, 2020 | 21 | 2020 |
| An Automatic Procedure for Generating Datasets for Conversational Recommender Systems. A Suglia, C Greco, P Basile, G Semeraro, A Caputo CLEF (Working Notes), 2017 | 13 | 2017 |
| Discovering and tracking organizational structures in event logs A Appice, M Di Pietro, C Greco, D Malerba New Frontiers in Mining Complex Patterns: 4th International Workshop, NFMCP …, 2016 | 12 | 2016 |
| They are not all alike: Answering different spatial questions requires different grounding strategies A Testoni, C Greco, T Bianchi, M Mazuecos, A Marcante, L Benotti, ... Proceedings of the Third International Workshop on Spatial Language …, 2020 | 10 | 2020 |
| Deep learning and hierarchical reinforcement learning for modeling a conversational recommender system P Basile, C Greco, A Suglia, G Semeraro Intelligenza Artificiale 12 (2), 125-141, 2018 | 10 | 2018 |
| Artificial intelligence models do not ground negation, humans do. guesswhat?! dialogues as a case study A Testoni, C Greco, R Bernardi Frontiers in big Data 4, 736709, 2022 | 7 | 2022 |
| Bridging the gap between linked open data-based recommender systems and distributed representations P Basile, C Greco, A Suglia, G Semeraro Information Systems 86, 1-8, 2019 | 7 | 2019 |
| Grounding dialogue history: Strengths and weaknesses of pre-trained transformers C Greco, A Testoni, R Bernardi International Conference of the Italian Association for Artificial …, 2020 | 6 | 2020 |
| Iterative multi-document neural attention for multiple answer prediction C Greco, A Suglia, P Basile, G Rossiello, G Semeraro arXiv preprint arXiv:1702.02367, 2017 | 5 | 2017 |
| She adapts to her student: An expert pragmatic speaker tailoring her referring expressions to the Layman listener C Greco, D Bagade, DT Le, R Bernardi Frontiers in Artificial Intelligence 6, 1017204, 2023 | 3 | 2023 |
| Measuring catastrophic forgetting in visual question answering C Greco, B Plank, R Fernández, R Bernardi Increasing Naturalness and Flexibility in Spoken Dialogue Interaction: 10th …, 2021 | 3 | 2021 |
| A small but informed and diverse model: The case of the multimodal guesswhat!? guessing game C Greco, A Testoni, R Bernardi, S Frank Proceedings of the 2022 CLASP Conference on (Dis) embodiment, 1-10, 2022 | 2 | 2022 |
| Yes” and “No”: Visually grounded polar answers C Greco, A Testoni, R Bernardi Proceedings of visually grounded interaction and language (ViGIL), 2021 | 2 | 2021 |
| Which Turn do Neural Models Exploit the Most to Solve GuessWhat? Diving into the Dialogue History Encoding in Transformers and LSTMs C Greco, A Testoni, R Bernardi12 | 2 | 2020 |
| AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding A Suglia, C Greco, K Baker, JL Part, I Papaioannou, A Eshghi, I Konstas, ... arXiv preprint arXiv:2406.13807, 2024 | 1 | 2024 |