| A survey on event extraction for natural language understanding: Riding the biomedical literature wave G Frisoni, G Moro, A Carbonaro IEEE Access 9, 160721-160757, 2021 | 44 | 2021 |
| Bioreader: a retrieval-enhanced text-to-text transformer for biomedical literature G Frisoni, M Mizutani, G Moro, L Valgimigli Proceedings of the 2022 conference on empirical methods in natural language …, 2022 | 24 | 2022 |
| Efficient memory-enhanced transformer for long-document summarization in low-resource regimes G Moro, L Ragazzi, L Valgimigli, G Frisoni, C Sartori, G Marfia Sensors 23 (7), 3542, 2023 | 23 | 2023 |
| Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining. G Frisoni, G Moro, A Carbonaro DATA, 121-132, 2020 | 23 | 2020 |
| Phenomena explanation from text: Unsupervised learning of interpretable and statistically significant knowledge G Frisoni, G Moro Data Management Technologies and Applications: 9th International Conference …, 2021 | 20 | 2021 |
| Unsupervised event graph representation and similarity learning on biomedical literature G Frisoni, G Moro, G Carlassare, A Carbonaro Sensors 22 (1), 3, 2021 | 17 | 2021 |
| Comprehensive analysis of knowledge graph embedding techniques benchmarked on link prediction I Ferrari, G Frisoni, P Italiani, G Moro, C Sartori Electronics 11 (23), 3866, 2022 | 16 | 2022 |
| Unsupervised descriptive text mining for knowledge graph learning G Frisoni, G Moro, A Carbonaro Proceedings of the 12th International Joint Conference on Knowledge …, 2020 | 14 | 2020 |
| Cogito ergo summ: abstractive summarization of biomedical papers via semantic parsing graphs and consistency rewards G Frisoni, P Italiani, S Salvatori, G Moro Proceedings of the AAAI conference on artificial intelligence 37 (11), 12781 …, 2023 | 13 | 2023 |
| NLG-metricverse: An end-to-end library for evaluating natural language generation G Frisoni, A Carbonaro, G Moro, A Zammarchi, M Avagnano Proceedings of the 29th International Conference on Computational …, 2022 | 13 | 2022 |
| Human being detection from UWB NLOS signals: accuracy and generality of advanced machine learning models G Moro, F Di Luca, D Dardari, G Frisoni Sensors 22 (4), 1656, 2022 | 12 | 2022 |
| Text-to-text extraction and verbalization of biomedical event graphs G Frisoni, G Moro, L Balzani Proceedings of the 29th International Conference on Computational …, 2022 | 11 | 2022 |
| Towards rare disease knowledge graph learning from social posts of patients G Frisoni, G Moro, A Carbonaro Research and Innovation Forum 2020: Disruptive Technologies in Times of …, 2021 | 11 | 2021 |
| Efficient text-image semantic search: A multi-modal vision-language approach for fashion retrieval G Moro, S Salvatori, G Frisoni Neurocomputing 538, 126196, 2023 | 9 | 2023 |
| Enhancing biomedical scientific reviews summarization with graph-based factual evidence extracted from papers G Frisoni, F Boschi, G Moro Proceedings of the 11th International Conference on Data Science, Technology …, 2022 | 5 | 2022 |
| To generate or to retrieve? on the effectiveness of artificial contexts for medical open-domain question answering G Frisoni, A Cocchieri, A Presepi, G Moro, Z Meng arXiv preprint arXiv:2403.01924, 2024 | 3 | 2024 |
| Evidence, my Dear Watson: Abstractive dialogue summarization on learnable relevant utterances P Italiani, G Frisoni, G Moro, A Carbonaro, C Sartori Neurocomputing 572, 127132, 2024 | 1 | 2024 |
| Refining Triplet Sampling for Improved Self-Supervised Representation Learning M Goyo, G Frisoni, G Moro, C Sartori | | 2024 |
| Graph-Enhanced Biomedical Abstractive Summarization Via Factual Evidence Extraction G Frisoni, P Italiani, G Moro, I Bartolini, MA Boschetti, A Carbonaro SN Computer Science 4 (5), 500, 2023 | | 2023 |
| Abstractive Summarization through the PRISM of Decoding Strategies G Frisoni, L Ragazzi, D Cohen, G Moro, A Carbonaro, C Sartori | | |
Gianluca MoroDept. of Computer Science and Engineering - University of Bologna, Cesena在 unibo.it 的电子邮件经过验证
