Giacomo Frisoni

According to our database, Giacomo Frisoni authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

[Emoji] Evidence, my Dear Watson: Abstractive dialogue summarization on learnable relevant utterances.

Paolo Italiani, Giacomo Frisoni, Gianluca Moro, Antonella Carbonaro, Claudio Sartori

Neurocomputing, March, 2024

Refining Triplet Sampling for Improved Self-Supervised Representation Learning.

Manuel Goyo, Giacomo Frisoni, Gianluca Moro, Claudio Sartori

Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data.

Jean-Flavien Bussotti, Luca Ragazzi, Giacomo Frisoni, Gianluca Moro, Paolo Papotti

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering.

Giacomo Frisoni, Alessio Cocchieri, Alex Presepi, Gianluca Moro, Zaiqiao Meng

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Graph-Enhanced Biomedical Abstractive Summarization Via Factual Evidence Extraction.

Giacomo Frisoni, Paolo Italiani, Gianluca Moro, Ilaria Bartolini, Marco Antonio Boschetti, Antonella Carbonaro

SN Comput. Sci., September, 2023

Efficient text-image semantic search: A multi-modal vision-language approach for fashion retrieval.

Gianluca Moro, Stefano Salvatori, Giacomo Frisoni

Neurocomputing, June, 2023

Efficient Memory-Enhanced Transformer for Long-Document Summarization in Low-Resource Regimes.

Gianluca Moro, Luca Ragazzi, Lorenzo Valgimigli, Giacomo Frisoni, Claudio Sartori, Gustavo Marfia

Sensors, April, 2023

Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards.

Giacomo Frisoni, Paolo Italiani, Stefano Salvatori, Gianluca Moro

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models.

Gianluca Moro, Federico Di Luca, Davide Dardari, Giacomo Frisoni

Sensors, 2022

Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature.

Giacomo Frisoni, Gianluca Moro, Giulio Carlassare, Antonella Carbonaro

Sensors, 2022

BioReader: a Retrieval-Enhanced Text-to-Text Transformer for Biomedical Literature.

Giacomo Frisoni, Miki Mizutani, Gianluca Moro, Lorenzo Valgimigli

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Enhancing Biomedical Scientific Reviews Summarization with Graph-based Factual Evidence Extracted from Papers.

Giacomo Frisoni, Paolo Italiani, Francesco Boschi, Gianluca Moro

Proceedings of the 11th International Conference on Data Science, 2022

Text-to-Text Extraction and Verbalization of Biomedical Event Graphs.

Giacomo Frisoni, Gianluca Moro, Lorenzo Balzani

Proceedings of the 29th International Conference on Computational Linguistics, 2022

NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation.

Giacomo Frisoni, Antonella Carbonaro, Gianluca Moro, Andrea Zammarchi, Marco Avagnano

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

A Survey on Event Extraction for Natural Language Understanding: Riding the Biomedical Literature Wave.

Giacomo Frisoni, Gianluca Moro, Antonella Carbonaro

IEEE Access, 2021

2020

Towards Rare Disease Knowledge Graph Learning from Social Posts of Patients.

Giacomo Frisoni, Gianluca Moro, Antonella Carbonaro

Proceedings of the Research and Innovation Forum 2020, 2020

Unsupervised Descriptive Text Mining for Knowledge Graph Learning.

Giacomo Frisoni, Gianluca Moro, Antonella Carbonaro

Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining.

Giacomo Frisoni, Gianluca Moro, Antonella Carbonaro

Proceedings of the 9th International Conference on Data Science, 2020

Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge.

Giacomo Frisoni, Gianluca Moro

Proceedings of the Data Management Technologies and Applications, 2020