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Giacomo Frisoni
Giacomo Frisoni
Department of Computer Science and Engineering, University of Bologna
Email verificata su unibo.it - Home page
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Citata da
Citata da
Anno
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
502021
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
392023
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
Proceedings of the 9th International Conference on Data Science, Technology …, 2020
312020
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
302022
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
272021
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
242022
Unsupervised event graph representation and similarity learning on biomedical literature
G Frisoni, G Moro, G Carlassare, A Carbonaro
Sensors 22 (1), 3, 2021
202021
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
192022
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
172022
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
162024
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
162023
Unsupervised descriptive text mining for knowledge graph learning
G Frisoni, G Moro, A Carbonaro
Proceedings of the 12th International Joint Conference on Knowledge …, 2020
162020
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
152022
Efficient text-image semantic search: A multi-modal vision-language approach for fashion retrieval
G Moro, S Salvatori, G Frisoni
Neurocomputing 538, 126196, 2023
142023
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
132021
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
82022
Lawsuit: a large expert-written summarization dataset of italian constitutional court verdicts
L Ragazzi, G Moro, S Guidi, G Frisoni
Artificial Intelligence and Law, 1-37, 2024
72024
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
42024
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
32023
A new unsupervised methodology of Descriptive Text Mining for Knowledge Graph Learning
G Frisoni
22020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20